Prosecution Insights
Last updated: July 17, 2026
Application No. 18/269,015

INTELLIGENT MITIGATION OR PREVENTION OF EQUIPMENT PERFORMANCE DEFICIENCIES

Final Rejection §101§103
Filed
Jun 22, 2023
Priority
Jan 04, 2021 — provisional 63/133,554 +2 more
Examiner
ISLAM, MOHAMMAD K
Art Unit
2857
Tech Center
2800 — Semiconductors & Electrical Systems
Assignee
Amgen Inc.
OA Round
2 (Final)
83%
Grant Probability
Favorable
3-4
OA Rounds
0m
Est. Remaining
99%
With Interview

Examiner Intelligence

Grants 83% — above average
83%
Career Allowance Rate
1093 granted / 1318 resolved
+14.9% vs TC avg
Strong +17% interview lift
Without
With
+17.0%
Interview Lift
resolved cases with interview
Typical timeline
2y 8m
Avg Prosecution
59 currently pending
Career history
1391
Total Applications
across all art units

Statute-Specific Performance

§101
12.0%
-28.0% vs TC avg
§103
62.2%
+22.2% vs TC avg
§102
20.5%
-19.5% vs TC avg
§112
2.3%
-37.7% vs TC avg
Black line = Tech Center average estimate • Based on career data from 1318 resolved cases

Office Action

§101 §103
DETAILED ACTION Final Rejection Notice of Pre-AIA or AIA Status The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . Response to Amendment Applicant’s amendments, filed 04/22/2026 to claims are accepted. In this amendment, claims 1-2 and 15-17 have been amended. Claim Rejections - 35 USC § 101 35 U.S.C. 101 reads as follows: Whoever invents or discovers any new and useful process, machine, manufacture, or composition of matter, or any new and useful improvement thereof, may obtain a patent therefor, subject to the conditions and requirements of this title. Claims 1-2,4, 7-17, 19-20, and 22-24 are rejected under 35 U.S.C. § 101 because the claimed invention is directed to an abstract idea without significantly more. Step 1 Each of claims 1-2,4, 7-17, 19-20, and 22-24 falls within one of the four statutory categories. See MPEP § 2106.03. For example, each of claims 1-2, 4, 7-15 fall within category of process; Each of claim 16-17, 19-20, and 22-24 falls within category of machine, i.e., a “concrete thing, consisting of parts, or of certain devices and combination of devices.” Digitech, 758 F.3d at 1348–49, 111 USPQ2d at 1719 (quoting Burr v. Duryee, 68 U.S. 531, 570, 17 L. Ed. 650, 657 (1863). Regarding Claims 1-2, 4, 7-15 Step 2A – Prong 1 Exemplary claim 1 is directed to an abstract idea of mitigating or preventing equipment performance deficiencies. The abstract idea is set forth or described by the following italicized limitations: 1. A method of mitigating or preventing equipment performance deficiencies, the method comprising: determining values of one or more parameters associated with equipment by monitoring the one or more parameters over a time period in which the equipment is in use; determining, by a computing system processing the values of the one or more parameters using a classification model, a performance classification of the equipment, the classification model configured to output, for a given set of parameter values, one of a plurality of available classifications, the plurality of available classifications including (i) a classification indicating that mitigating or preventative actions are not recommended, and (ii) a plurality of other classifications that each correspond to a different diagnosis or prediction associated with deficient performance of the equipment; mapping, by the computing system, the performance classification to a mitigating or preventative action; and generating, by the computing system, an output indicative of the mitigating or preventative action.. The italicized limitations above represent mental steps (i.e., a process that can be performed by can be performed mentally and/or with pen and paper or a mental judgment) . Therefore, the italicized limitations fall within the subject matter groupings of abstract ideas enumerated in Section I of the 2019 Revised Patent Subject Matter Eligibility Guidance. For example, the limitations “determining values of one or more parameters [..]; determining processing the values of the one or more parameters [..];mapping the performance classification [..]; generating an output [..] ” are mental step (i.e., a process that can be performed by can be performed mentally and/or with pen and paper or a mental judgment), see 2106.04(a)(2). Limitations are considered together as a single abstract idea for further analysis. (discussing Bilski v. Kappos, 561 U.S. 593 (2010)). Step 2A – Prong 2 Claims 1 does not include additional elements (when considered individually, as an ordered combination, and/or within the claim as a whole) that are sufficient to integrate the abstract idea into a practical application. For example, first additional first element is “, by the computing system”. This element amounts to mere use of a generic computer components, which is well understood routine and conventional (see background of current discloser and IDS and PTO 892) and this element individually does not provide a practical application. In view of the above, the “additional element” individually or combine does not provide a practical application of the abstract idea. see MPEP 2106.05(d). In view of the above, the “additional elements” individually do not provide a practical application of the abstract idea. Furthermore, the “additional elements” in combination amount to a plurality of generic control system with computer component with software, where such computers and software amount to mere instructions to implement the abstract idea on a computer(s) and/or mere use of a generic computer component(s) as a tool to perform the abstract idea. Therefore, these elements in combination do not provide a practical application. The combination of additional elements does no more than generally link the use of the abstract idea to a particular technological environment, and for this additional reason, the combination of additional elements does not provide a practical application of the abstract idea. . Step 2B Claims1 does not include additional elements, when considered individually and as an ordered combination, that are sufficient to amount to significantly more than the abstract idea. For example, the limitation of Claim 1 contains additional elements that are, i.e. , computing system,”, generic devices, which are well understood, routine and conventional (see background of current discloser and IDS and PTO 892) and MPEP 2106.05(d))The reasons for reaching this conclusion are substantially the same as the reasons given above in § Step 2A – Prong 2. For brevity only, those reasons are not repeated in this section. See MPEP §§ 2106.05(g) and MPEP §§2106.05(II). . Dependent Claims 2, 4, 7-15 Dependent claims 2, 4, 7-15 fail to cure this deficiency of independent claim 1 (set forth above) and are rejected accordingly. Particularly, claims 2, 4, 7-15 recite limitations that represent (in addition to the limitations already noted above) either the abstract idea or an additional element that is merely extra-solution activity, mere use of instructions and/or generic computer component(s) as a tool to implement the abstract idea, and/or merely limits the abstract idea to a particular technological environment. For Examples, claims 2 and 11-15: claims limitations are mental step (i.e., a process that can be performed by can be performed mentally and/or with pen and paper or a mental judgment), see 2106.04(a)(2). For Examples, claims 7-10 and 15(monitoring the one or more parameters includes receiving, by the computing system, sensor readings generated by the one or more temperature sensors): these additional elements appear to only add insignificant extra-solution activity (e.g., data gathering) and only generally link the abstract idea to a particular field. Therefore, this element individually or as a whole does not provide a practical application. See MPEP 2106.05(g). For Examples, claim 4: This element amounts to mere use of a generic computer components with high level of generality (apply it) , which is well understood routine and conventional (see background of current discloser and IDS and PTO 892) and this element individually does not provide a practical application. In view of the above, the “additional element” individually or combine does not provide a practical application of the abstract idea. see MPEP 2106.05(d). Regarding Claims 16-17, 19-20, and 22-24 Claims16-17, 19-20, and 22-24 contains language similar to claims 1-2, 4, 7-15 as discussed in the preceding paragraphs, and for reasons similar to those discussed above, claims16-17, 19-20, and 22-24 are also rejected under 35 U.S.C. § 101(abstract idea). Claim Rejections - 35 USC § 103 The following is a quotation of 35 U.S.C. 103 which forms the basis for all obviousness rejections set forth in this Office action: A patent for a claimed invention may not be obtained, notwithstanding that the claimed invention is not identically disclosed as set forth in section 102, if the differences between the claimed invention and the prior art are such that the claimed invention as a whole would have been obvious before the effective filing date of the claimed invention to a person having ordinary skill in the art to which the claimed invention pertains. Patentability shall not be negated by the manner in which the invention was made. Claim(s) 1-2, 4, 7-9, 11-12, 16-17, 19-20 and 23-24 is/are rejected under 35 U.S.C. 103 as being unpatentable over Pihlaja et al. (US 2008/0082294) in view of Nakase (2019/0362188)(the Examiner cited prior art). Regarding Claims 1 and 16. Pihlaja teaches a method of mitigating or preventing equipment performance deficiencies, the method comprising([0048]-[0049],[0076], figs. 2, 5 & 17; workstation 54: fig.2): determining values of one or more parameters associated with equipment by monitoring the one or more parameters over a time period in which the equipment is in use([0056], [0057] and data collection:90: fig. 2; pressure signal: fig.3-5; parameters :104, 116: fig.5); determining, by a computing system (54: fig.2) processing the values of the one or more parameters using a classification model, a performance classification of the equipment(94: fig. 2; output of even detector 108 : fig. 5; [0084]-[0125], [0137]); mapping, by the computing system, the performance classification to a mitigating or preventative action(120: fig. 5;, the indicator generated by the abnormal situation detector could be provided to one or more of a control block or routine, to a maintenance system, etc. For instance, the output of the abnormal situation detector 120 could be provided to the controller 52 which could shut down the stirred vessel 60 or the reactor unit 56 if one or more abnormal situations are detected: [00137]-[01140]; [0162]-[0165] and fig. 17); and generating, by the computing system, an output indicative of the mitigating or preventative action (output of the abnormal situation detector 120 could be provided to the controller 52 which could shut down the stirred vessel 60 or the reactor unit 56 if one or more abnormal situations are detected. Rules development applications and configuration screens that may be used to create rules for detecting abnormal situations and/or, if desired, for generating alarms, alerts, or for taking some other action based on the detected existence of abnormal situations. Similar or different rules development applications may be used as well to develop the rules 454: [0013]; [0167]; abnormal situations indicator: figs. 5, 17). Pihlaja does not explicitly teach the classification model configured to output, for a given set of parameter values, one of a plurality of available classifications, the plurality of available classifications including (i) a classification indicating that mitigating or preventative actions are not recommended, and (ii) a plurality of other classifications that each correspond to a different diagnosis or prediction associated with deficient performance of the equipment. However, Nakase teaches the classification model(10: fig.2) configured to output, for a given set of parameter values, one of a plurality of available classifications, the plurality of available classifications including (i) a classification indicating that mitigating or preventative actions are not recommended(S2(Non defective): fig. 2), and (ii) a plurality of other classifications that each correspond to a different diagnosis or prediction associated with deficient performance of the equipment(S4, S6: fig. 2). It would have been obvious to one of ordinary skill in the art before the effective filing date of the claimed invention to the invention of Pihlaja, he classification model configured to output, for a given set of parameter values, one of a plurality of available classifications, the plurality of available classifications including (i) a classification indicating that mitigating or preventative actions are not recommended, and (ii) a plurality of other classifications that each correspond to a different diagnosis or prediction associated with deficient performance of the equipment, as taught by Nakase, so as to to determine the types of defect products in addition to determining whether each product is non-defective or defective, is enabled. Regarding Claims 2 and 17. Pihlaja further teaches determining the performance classification includes outputting, by the classification model, one of the one of the plurality classifications.([0084], [0137] and fig. 5). Regarding Claims 4 and 19. Pihlaja further teaches the classification model includes (a)a support vector machine (SVM) model, (b) a decision tree model, or (c) a neural network([0136]). Regarding Claim 7. Pihlaja further teaches monitoring the one or more parameters includes receiving, by the computing system, sensor readings generated by one or more sensor devices(82, 90: fig.2; [0056], [0057]). Regarding Claim 8. Pihlaja further teaches the equipment includes the one or more sensor devices(82, 90: fig.2; [0056], [0057]). . Regarding Claim 9. Pihlaja further teaches the one or more sensor devices include one or both of (i) one or more temperature sensors, and (ii) one or more pressure sensors(82, 90: fig.2; [0056], [0057]). . Regarding Claims 11 and 23. Pihlaja further teaches mapping the performance classification to the mitigating or preventative action includes determining which action corresponds to the performance classification in a database containing known mitigating or preventative actions for known scenarios associated with the equipment([0163], [0165], [0166]). Regarding Claims 12 and 24. Pihlaja further teaches generating the output indicative of the mitigating or preventative action includes presenting the output to a user via a display([0167]). Regarding Claim 20. Pihlaja further teaches the equipment includes one or more sensor devices optionally including one or both of (i) one or more temperature sensors, and (ii) one or more pressure sensors(82, 90: fig.2; [0056], [0057]); and monitoring the one or more parameters includes receiving sensor readings generated by the one or more sensor devices(82, 90: fig.2; [0056], [0057]). Claim(s) 10 and 22 is/are rejected under 35 U.S.C. 103 as being unpatentable over Pihlaja in view of Hall et al. (US 20170234837) Regarding Claims 10 and 22. Pihlaja silent about the sensor readings are generated by a plurality of sensor devices; and determining the values of the one or more parameters includes generating the values by applying a dimension reduction technique to the sensor readings. However, Hall teaches the sensor readings are generated by a plurality of sensor devices(fig. 12(b); [0111]); and determining the values of the one or more parameters includes generating the values by applying a dimension reduction technique to the sensor readings(fig. 12(b); [0111]). It would have been obvious to one of ordinary skill in the art before the effective filing date of the claimed invention to the invention of Pihlaja, the sensor readings are generated by a plurality of sensor devices; and determining the values of the one or more parameters includes generating the values by applying a dimension reduction technique to the sensor readings, as taught by Hall, so as to find a projection that maximises the separation between classes. Claim(s) 13-14 is/are rejected under 35 U.S.C. 103 as being unpatentable over Pihlaja in view of Nakase (2019/0362188), further in view of Ozeki(US 2020/0338677). Regarding Claim 13. Pihlaja silent about prior to determining the values of the one or more parameters associated with the equipment: training the classification model using (i) a plurality of sets of historical values of the one or more parameters and (ii) a plurality of respective labels. However, Ozeki teaches prior to determining the values of the one or more parameters associated with the equipment: training the classification model using (i) a plurality of sets of historical values of the one or more parameters and (ii) a plurality of respective labels([0057]-[0060]). It would have been obvious to one of ordinary skill in the art before the effective filing date of the claimed invention to the invention of Pihlaja, prior to determining the values of the one or more parameters associated with the equipment: training the classification model using (i) a plurality of sets of historical values of the one or more parameters and (ii) a plurality of respective labels, as taught by Ozeki, so as to constructs a learned model. Regarding Claim 14. Ozeki teaches further teaches after determining the performance classification of the equipment: receiving, by the computing system, a user-assigned label representing a manual classification for the values of the one or more parameters ([0057]-[0060]); and further training the classification model using (i) the values of the one or more parameters and (ii) the user-assigned label([0057]-[0060]). Claim(s) 15 is/are rejected under 35 U.S.C. 103 as being unpatentable over Pihlaja in view of Nakase (2019/0362188), further in view of Kroyzer et al. (US 2016/0330225). Regarding Claim 15. Pihlaja silent about the equipment includes a tank and one or more temperature sensors; monitoring the one or more parameters includes receiving, by the computing system, sensor readings generated by the one or more temperature sensors; the plurality of other classifications include one or more of (i) one or more classifications corresponding to temperature drop-out, (ii) one or more classifications corresponding to temperature oscillation, or (iii) one or more classifications corresponding to temperature overshoot; and determining the performance classification includes the classification model outputting one of the plurality of other classifications. However, Kroyzer teaches the equipment includes a tank and one or more temperature sensors(55,58,61,66, 250: fig. 4-5, [0074], fig. 6, [0045]); monitoring the one or more parameters includes receiving, by the computing system, sensor readings generated by the one or more temperature sensors(55,58,61,66, 250: fig. 4-5, [0074], fig. 6, [0045]); the plurality of other classifications include one or more of (i) one or more classifications corresponding to temperature drop-out, (ii) one or more classifications corresponding to temperature oscillation, or (iii) one or more classifications corresponding to temperature overshoot(55,58,61,66, 250: fig. 4-5, [0074], fig. 6, [0045]); and determining the performance classification includes the classification model outputting one of the plurality of other classifications (55,58,61,66, 250: fig. 4-5, [0074], fig. 6, [0045]). It would have been obvious to one of ordinary skill in the art before the effective filing date of the claimed invention to the invention of Pihlaja, the equipment includes a tank and one or more temperature sensors; monitoring the one or more parameters includes receiving, by the computing system, sensor readings generated by the one or more temperature sensors; the plurality of other classifications include one or more of (i) one or more classifications corresponding to temperature drop-out, (ii) one or more classifications corresponding to temperature oscillation, or (iii) one or more classifications corresponding to temperature overshoot; and determining the performance classification includes the classification model outputting one of the plurality of other classifications, as taught by Kroyzer, so as to detect a intrusion or anomalies in industrial control systems and able to prevent an insider from manipulating the system to cause damage. Response to Argument Applicant’s arguments with respect 101 rejection, specially claims 1 and 16, The applicant did not agree with it, see, pages 9-13 In response, the Examiner respectfully disagree because limitations of claim 1 represent a combination of mathematical concepts (i.e., a process that can be performed by mathematical relationships or rules or idea) and a mental step (i.e., a process that can be performed by can be performed mentally and/or with pen and paper). Therefore, the limitations, specifically claim1, above fall within the subject matter groupings of abstract ideas enumerated in Section I of the 2019 Revised Patent Subject Matter Eligibility Guidance. In view of the above, the three “additional elements” individually do not provide a practical application of the abstract idea. Furthermore, the “additional elements” in combination amount to a plurality of generic control system with computer component with software, where such computers and software amount to mere instructions to implement the abstract idea on a computer(s) and/or mere use of a generic computer component(s) as a tool to perform the abstract idea. Therefore, these elements in combination do not provide a practical application. The combination of additional elements does no more than generally link the use of the abstract idea to a particular technological environment, and for this additional reason, the combination of additional elements does no more than generally link the use of the abstract idea to a particular technological environment, and for this additional reason, the additional element does not provide a practical application of the abstract idea. Claim invention only recite the idea of a solution or outcome “outputting an analysis result” and do not include any details about how the “outputting a analysis result” is accomplished. See MPEP 2106.05(f). As such 101 rejection is maintained. Applicant’s arguments with respect to claim(s) 1, and 16 have been considered but are moot because the new ground of rejection made over amended limitations and does not rely on any reference applied in the prior rejection of record for any teaching or matter specifically challenged in the argument. Conclusion Applicant's amendment necessitated the new ground(s) of rejection presented in this Office action. Accordingly, THIS ACTION IS MADE FINAL. See MPEP § 706.07(a). Applicant is reminded of the extension of time policy as set forth in 37 CFR 1.136(a). A shortened statutory period for reply to this final action is set to expire THREE MONTHS from the mailing date of this action. In the event a first reply is filed within TWO MONTHS of the mailing date of this final action and the advisory action is not mailed until after the end of the THREE-MONTH shortened statutory period, then the shortened statutory period will expire on the date the advisory action is mailed, and any nonprovisional extension fee (37 CFR 1.17(a)) pursuant to 37 CFR 1.136(a) will be calculated from the mailing date of the advisory action. In no event, however, will the statutory period for reply expire later than SIX MONTHS from the mailing date of this final action. The prior art made of record and not relied upon is considered pertinent to applicant's disclosure. a) Wang et al. (US 2016/0220225) disclose An arrhythmia detection device is provided, which includes: a monitoring probe attached to a subject to be examined; a monitoring unit coupled with the monitoring probe; a first displaying unit which displays ECG parameters obtained by the monitoring unit; an ultrasound probe attached onto a body surface of the subject; an ultrasound imaging unit coupled with the ultrasound probe; an arrhythmia triggering unit which triggers the ultrasound imaging unit to scan the heart of the subject when the monitoring unit detects an arrhythmia; and a second displaying unit which displays the images and/or the parameters of the heart obtained by the ultrasound imaging unit. b) Aljalifa et al. (US 2024/0045414) disclose A method of diagnosing or predicting performance of equipment includes determining values of one or more parameters associated with the equipment by monitoring the one or more parameters over a time period in which the equipment is in use. The method also includes determining, by processing the values of the one or more parameters using a classification model, a performance classification of the equipment, mapping the performance classification to a mitigating or preventative action, and generating an output indicative of the mitigating or preventative action. . Contact Information Any inquiry concerning this communication or earlier communications from the examiner should be directed to MOHAMMAD K ISLAM whose telephone number is (571)270-0328. The examiner can normally be reached M-F 9:00 a.m. - 5:00 p.m.. Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Shelby A Turner can be reached at 571-272-6334. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of published or unpublished applications may be obtained from Patent Center. Unpublished application information in Patent Center is available to registered users. To file and manage patent submissions in Patent Center, visit: https://patentcenter.uspto.gov. Visit https://www.uspto.gov/patents/apply/patent-center for more information about Patent Center and https://www.uspto.gov/patents/docx for information about filing in DOCX format. For additional questions, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /MOHAMMAD K ISLAM/Primary Examiner, Art Unit 2857
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Prosecution Timeline

Jun 22, 2023
Application Filed
Nov 14, 2025
Non-Final Rejection (signed) — §101, §103
Jan 22, 2026
Non-Final Rejection mailed — §101, §103
Apr 08, 2026
Applicant Interview (Telephonic)
Apr 11, 2026
Examiner Interview Summary
Apr 22, 2026
Response Filed
Jun 02, 2026
Final Rejection mailed — §101, §103 (current)

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