Ex Parte Tang et alDownload PDFPatent Trial and Appeal BoardJun 29, 201813624039 (P.T.A.B. Jun. 29, 2018) Copy Citation UNITED STA TES p A TENT AND TRADEMARK OFFICE APPLICATION NO. FILING DATE FIRST NAMED INVENTOR 13/624,039 09/21/2012 Liang Tang 54549 7590 07/03/2018 CARLSON, GASKEY & OLDS/PRATT & WHITNEY 400 West Maple Road Suite 350 Birmingham, MI 48009 UNITED STATES DEPARTMENT OF COMMERCE United States Patent and Trademark Office Address: COMMISSIONER FOR PATENTS P.O. Box 1450 Alexandria, Virginia 22313-1450 www .uspto.gov ATTORNEY DOCKET NO. CONFIRMATION NO. 63017US01; 67097-2011PUS1 1055 EXAMINER DUNN, DARRIN D ART UNIT PAPER NUMBER 2126 NOTIFICATION DATE DELIVERY MODE 07 /03/2018 ELECTRONIC Please find below and/or attached an Office communication concerning this application or proceeding. The time period for reply, if any, is set in the attached communication. Notice of the Office communication was sent electronically on above-indicated "Notification Date" to the following e-mail address( es): ptodocket@cgolaw.com PTOL-90A (Rev. 04/07) UNITED STATES PATENT AND TRADEMARK OFFICE BEFORE THE PATENT TRIAL AND APPEAL BOARD Ex parte LIANG TANG and ALLAN J. VOLPONI Appeal2017-009709 Application 13/624,039 Technology Center 2100 Before JAMES R. HUGHES, DENISE M. POTHIER, and STEVEN M. AMUNDSON, Administrative Patent Judges. POTHIER, Administrative Patent Judge. DECISION ON APPEAL Appeal2017-009709 Application 13/624,039 STATEMENT OF THE CASE Appellants 1' 2 appeal under 35 U.S.C. § 134(a) from the Examiner's rejection of claims 1, 4, 6-9, and 13-25. Appeal Br. 2. Claims 2, 3, 5, and 10-12 have been canceled. See Appeal Br. 2; June 8, 2016 Response to Non-Final Action 2-3. We have jurisdiction under 35 U.S.C. § 6(b). We affirm. Invention Appellants' invention relates to the health of a turbomachine, such as a gas turbine engine (e.g., item 20 in Figure 1 ). Spec. i-fi-f l-2, Fig. 1. Diagnostic information for turbomachines is error prone. Spec. i1 3. The invention aims to merge information within a turbomachine health management system. Spec. i1 4. For example, information collected (e.g., blade tip timing) from one subsystem (e.g., 70d) can be used to adjust information (e.g., fan speed (NI)) at another subsystem (e.g., 70a) when the sensor measuring fan speed (e.g., fan speed sensor 68c) fails. Spec. i-fi-15, 42--43, 51-52, Figs. 2, 4. Claim 1 is reproduced below with emphasis: 1. A method of fusing information within a turbomachine health management system, comprising: sending sensor information collected by a first subsystem from the first subsystem to a qualitative model of a system level reasoner; 1 Throughout this opinion, we refer to the Final Action (Final Act.) mailed September 22, 2016, the Appeal Brief (Appeal Br.) filed February 1, 2017, the Examiner's Answer (Ans.) mailed May 22, 2017, and the Reply Brief (Reply Br.) filed June 30, 2017. 2 The real party in interest is listed as United Technologies Corporation. Appeal Br. 1. 2 Appeal2017-009709 Application 13/624,039 sending sensor information collected by a different, second subsystem from the second subsystem to the qualitative model of the system level reasoner; and sending diagnostic feedback to the second subsystem from the qualitative model of the system level reasoner, the diagnostic feedback based on the sensor information from the first subsystem, wherein the diagnostic feedback substitutes sensor information collected by the second subsystem with sensor information from the first subsystem. The Examiner relies on the following as evidence of unpatentability: Bellows Kikta Wiseman3 No vis us 5, 122,976 US 2002/0152298 Al US 6,598, 195 B 1 US 2009/0112519 Al The Rejections June 16, 1992 Oct. 17, 2002 July 22, 2003 Apr. 30, 2009 Claims 1, 4, 6-9, 13, 15-18, and 20-25 4 are rejected under 35 U.S.C. § 103(a) (pre-AIA) as unpatentable over Novis, Bellows, and Wiseman. Final Act. 7-18, 20-24. Claims 14 and 19 are rejected under 35 U.S.C. § 103(a) (pre-AIA) as unpatentable over Novis, Bellows, Wiseman, and Kikta. Final Act. 19-20. 3 Wiseman is the second named inventor; Adibhatla is the first named inventor. For consistency with the Examiner's discussion, we refer to this reference as Wiseman. 4 Notably, the rejection's body does not address claims 20-25 (Final Act. 7-18) until pages 20 through 24, which occurs after the discussion of another rejection of claims 14 and 19 (Final Act. 19-20). Although placed after the discussion of claims 14 and 19, the discussion of claims 20-25 does not address Kikta. Final Act. 20-24. We therefore presume the Examiner intended to reject claims 20-25 based on Novis, Bellows, and Wiseman, as do Appellants. See Appeal Br. 4 (including claims 20-25 in the heading of the rejection ofNovis, Bellows, and Wiseman). 3 Appeal2017-009709 Application 13/624,039 THE OBVIOUSNESS REJECTION OVER NOVIS, BELLOWS, AND WISEMAN Regarding representative claim 1, 5 the Examiner finds Novis teaches many of its recitations, turning to Bellows and Wiseman in combination with Novis to teach or suggest the claimed "sending diagnostic feedback" step. Final Act. 8-11 (citing Bellows 4:8-25, Abstract, Figs. 1-3 and Wiseman 1:31-50). Appellants argue the recited "sending diagnostic feedbac!C' step is not taught by "the modified version ofNovis." Appeal Br. 4. Specifically, Appellants argue Bellows does not teach sending diagnostic feedback to a second subsystem but rather teaches communicating one of two routines to a reheat pressure algorithm. Appeal Br. 4--5. Appellants further contend Bellows does not teach communicating from a system level reasoner to a subsystem, such that one skilled in the art would have known to modify Novis's O/M interface to communicate information back to Novis's Primary FE (feature extraction) Module 12. Appeal Br. 4--5. In Appellants' view, Bellows teaches generally adjusting an algorithm based on sensor information, but this does not represent a diagnostic feedback. Appeal Br. 5. Appellants further argue the Examiner's reasoning to modify Novis as proposed is speculative and lacks a rational basis. Reply Br. 2. Even further, Appellants assert any such feedback is not based on the sensor information from a first subsystem. Appeal Br. 5. As for Wiseman, Appellants argue there is no teaching that a first subsystem is adjusted based on information from a second subsystem. Appeal Br. 6. 5 Claims 1, 4, 20, and 21 are argued collectively. App. Br. 4--6. We select claim 1 as representative. See 37 C.F.R. § 41.37(c)(l)(iv). 4 Appeal2017-009709 Application 13/624,039 ISSUE Under§ 103, has the Examiner erred in rejecting claim 1 by finding that Novis, Bellows, and Wiseman collectively would have taught or suggested "sending diagnostic feedback to the second subsystem from the qualitative model of the system level reasoner, the diagnostic feedback based on the sensor information from the first subsystem"? ANALYSIS Based on the record before us, we are not persuaded of error in the Examiner's rejection of independent claim 1. Claims 1, 4, 20, and 21 One cannot show nonobviousness by attacking references individually where rejections are based on combinations of references. See In re Keller, 642 F.2d 413, 426 (CCPA 1981); In re Merck & Co., 800 F.2d 1091, 1097 (Fed. Cir. 1986). Thus, any arguments by Appellants attacking Novis, Bellows, or Wiseman individually (see Appeal Br. 4---6) fail to consider the collective teachings of the references. As the Examiner finds and explains, Bellows suggests a subsystem feeds algorithm information to use one of two routines based on a faulty sensor. Final Act. 8-9 (citing Bellows, Abstract, 4:8-35, Figs. 1-2). The Examiner proposes to modify each ofNovis's PE modules to integrate Bellows's algorithm (1) for executing or processing routines (e.g., routine 1 or routine 2) and (2) for controlling how to process data based on whether a sensor is faulty or not. Final Act. 9-10; Ans. 3--4, 9. Specifically, Bellows teaches a data center computer (e.g., 10) that collects raw data and processes the data for a processing plant. Bellows, 5 Appeal2017-009709 Application 13/624,039 Abstract, Fig. 1. Such raw data is sent to a remote expert system (e.g., 16) for sensor diagnosis of faulty sensors. Bellows, Abstract, Fig. 1. According to Bellows, this technique shifts the burden of sensor malfunction diagnosis and more efficiently performs such diagnosis. Bellows 3:65-7. Faulty sensor results (e.g., confidence levels) are sent or fed back to the data center to control sensor processing routines (e.g., 50 in Fig. 1 ), which use either the raw data or further processed data. Bellows, Abstract, 3:48---60, 4:8-35, Figs. 1-2. For example, in Bellows, when an output (e.g., confidence level from an expert system) indicates the hot reheat pressure sensor has failed, the algorithm uses interpolated data (e.g., performs routine 2 that interpolates between a cold reheat pressure and an extraction pressure information). Bellows 4:8-35, Fig. 2. Bellows further suggests the communicated diagnostic value can substitute for the collected, sensor data. Bellows 4:28-33. We thus disagree with Appellants (Appeal Br. 4) that Bellows does not at least suggest sending diagnostic feedback to subsystems (e.g., processing routines 50 in Fig. 1 ). Furthermore, when combined with Novis as proposed, Bellows's processing routines would be implemented within Primary FE modules (e.g., 12). Final Act. 8-10; Ans. 3--4, 10. As such, contrary to Appellants' assertions (Appeal Br. 4--5), the collective teachings resulting in Novis's modified system suggest "sending diagnostic feedback to" a subsystem (e.g., sending confidence level information or a substituted diagnostic value to Primary FE module 12) from a remote system (e.g., Novis's system level reasoner (e.g., element 17)). 6 Appeal2017-009709 Application 13/624,039 Also, Novis teaches PFE modules have microprocessors to process sensor signals and to extract primary features (e.g., using "soft" or virtual sensors) from the processed signals. Novis i-fi-128, 30. Novis explains the PFE' s signal processing function is calibrated, such that the primary extracted features accurately represent the engine parameters appropriate for further analysis. Novis i-fi-128, 30. 6 Given Novis's desire to calibrate each PFE with accurate information (Novis i-fi-128, 30) and given Bellows's teaching that sensors are known to be faulty (see Bellows, Abstract, 4:8-35), one skilled in the art would have recognized and applied the above described feedback technique in Bellows in order to calibrate Novis's signal processing function accurately and ensure the sensor information and the primary extracted features accurately represent engine parameters used for further analysis. That is, Bellows's technique would indicate the accuracy of sensor information in N ovis' s modified system and substitute sensor information with a more correct, diagnostic value when the PFE's sensor(s) will not represent accurately engine parameters (e.g., when a PFE's sensor is faulty). See Bellows, Abstract, 3:48---60, 4:8-35, Figs. 1-2; see also Ans. 4 (stating the combination implements corrective action by controlling how each module uses sensor data responsive to detecting faulty sensor data for a particular module). Thus, despite Appellants arguing N ovis as modified does not teach sending diagnostic feedback to the subsystem (Appeal Br. 4--5) and Novis communicates information to the MA Module but "not the other way 6 N ovis also suggests information from calibrated modeling 3 6A, discriminators 35A, and assessor 35B are sent back to a PFE (e.g., from 36A, 35A,B to 32 through various steps). Novis i-fi-178-80, 83-85, Fig. 3. 7 Appeal2017-009709 Application 13/624,039 around" (Reply Br. 2), we disagree for the above reasons. The Examiner also provides additional reasons for N ovis' s system level reasoner to send diagnostic feedback to a second subsystem (e.g., one of modified PFEs 12 in Novis) based on Bellows's teachings. Ans. 9-12. We therefore disagree with Appellants (Reply Br. 2-3) that the Examiner's reasoning to modify Novis as proposed is speculative and lacks a rational underpinning. Even further, Appellants assert any such feedback is not based on the sensor information from a first subsystem. Appeal Br. 5. This argument is unavailing. The Examiner turns to both Bellows and Wiseman in combination with Novis to teach this disputed feature. Final Act. 10-11 (citing Bellows 4:25-33 and Wiseman 1:31-50); Ans. 10-12 (citing Bellows 4:8-24 and Wiseman 4: 13-25). As noted above, Bellows teaches outputting various types of values based on detecting a faulty sensor, including substituting a diagnostic value for the sensor data. Bellows 4:8-33. Bellows also teaches the alternative routines (e.g., 1 or 2) include routines that use other sensor data (e.g., cold reheat pressure and extraction pressure sensor data) in place of the original sensor data (e.g., hot reheat pressure sensor). See Bellows 4:8-33; see Ans. 11-12. Additionally and to the extent Bellows does not fully teach the disputed feedback is based on information from a first subsystem, Wiseman teaches or suggests the recited feature. That is, Wiseman teaches replacing a faulty sensor value with an alternate model value arrived at by using inputs from other subsystems (e.g., compressor subsystem having a faulty compressor inlet temperature sensor is modeled on fan subsystem's sensor inputs, including a sensed fan inlet temperature and fan speed). Wiseman 1:31-50, 4: 12-25. We therefore disagree with Appellants (Appeal Br. 6) 8 Appeal2017-009709 Application 13/624,039 that Wiseman, when combined with the Novis/Bellows system, as previously discussed, does not teach or suggest the diagnostic feedback is "based on sensor information from the first subsystem" and "the diagnostic feedback substitutes sensor information collected by the second subsystem with sensor information from the first subsystem" as recited. For the foregoing reasons, Appellants have not persuaded us of error in the rejection of independent claim 1 and dependent claims 4, 20, and 21 not separately argued. Claims 6-9, 13, 15-18, 23, and 25 For independent claims 6 and 15, Appellants present similar arguments to those for claim 1. Appeal Br. 6-7. We are not persuaded for reasons previously discussed. Additionally, Appellants assert Novis fails to teach any first subsystem and separate second subsystem. Appeal Br. 6-7. We disagree. Novis teaches several separate subsystems (e.g., Primary FE Module 1, Primary FE Module 2, and Primary FE Module m1) in Figure 1. Novis i-f 28, Fig. 1 (element 12); see also Final Act. 7-8. Appellants also argue Bellows does not teach sensors associated with different subsystems. Appeal Br. 6. This argument attacks Bellows individually without considering the collective teachings ofNovis and Bellows. When modified as proposed by the Examiner, the resulting turbomachine health management system sends diagnostic information both to a first and a second subsystem. See Final Act. 7-10. Moreover, the resulting "diagnostic feedback" is provided from N ovis' s "system level" as recited in claim 6 and contrary to Appellants' assertion (Appeal Br. 6). 9 Appeal2017-009709 Application 13/624,039 Accordingly, Appellants have not persuaded us of error in the rejection of independent claims 6 and 15 and dependent claims 7-9, 13, 16-18, 23, and 25, which are not separately argued. Claim 22 Claim 22 depends from claim 1 and further recites "the qualitative model substitutes the sensor information collected by the second subsystem with sensor information from the first subsystem." Appeal Br. 12 (Claims App'x). Appellants argue Wiseman does not teach or suggest "pertinent function of substituting sensor information collected by a second subsystem with sensor information collected by a first subsystem" as asserted by the Examiner. Appeal Br. 8. This argument is unavailing for reasons already stated. Appellants also argue Wiseman does not teach a first subsystem module is adjusted based on information from a second subsystem module but rather discusses modeling sensors and determining whether a sensor is faulty based on a comparison with a threshold. Appeal Br. 8. We are not persuaded for the reason previously discussed, including what Wiseman (see Wiseman 1 :31-50, 4: 12-25) teaches or suggests to an ordinarily skilled artisan when combined with Novis and Bellows. See also Ans. 14. Claim 24 Claim 24 depends from claim 6 and further recites "the diagnostic feedback replaces information collected by at least one second sensor associated with the at least one second subsystem with information collected by the at least one first sensor at the system level." Appeal Br. 12 (Claims App'x). Appellants argue the Examiner's interpretation of the phrase 10 Appeal2017-009709 Application 13/624,039 "system level" in the claim "is misplaced" in light of the disclosure. Appeal Br. 8 (citing Spec. i-fi-1 44--45). The Examiner states "[t]he broadest reasonably interpretation of a level in light of Appellants' specification is a position within a system." Ans. 15 (citing Fig. 2). To extent the Examiner construes the recited "system level" with this same breadth, we agree with Appellants that this interpretation is too broad. Figure 2 depicts "system level reasoner 72" and shows this reasoner at a level above subsystem modules 70a-n. Spec., Fig. 2. Paragraph 44 similarly describes model 78 as a "high-level model" that "may be considered a qualitative reasoner, system level aggregator, or system-level reasoner" (Spec. i1 44), and that provides feedback to "lower- level" modules 70a-n (Spec. i1 45). See also Spec. i1 53 (describing subsystem modules as "local information" and the "system level" having "global awareness"). In light of the disclosure, we determine one skilled in the art would have understood the phrase "system level" to be located at the level where the recited "system level reasoner" is found. Nevertheless, although arguing the Examiner misconstrued the limitation "system level," Appellants do not further assert the references fail to teach claim 24's limitations. Appeal Br. 8. In fact, as discussed above and as proposed, the references collectively teach or suggest diagnostic information fed back to a second subsystem can be replaced (e.g., substituting a diagnostic value for the sensor data (see Bellows 4:8-33)) at the system level reasoner (e.g., at the system level) with information collected from first sensor information. We refer above for more details. For the foregoing reasons, Appellants have not persuaded us of error in the rejection of claims 22 and 24. 11 Appeal2017-009709 Application 13/624,039 THE REMAINING OBVIOUSNESS REJECTION Claims 14 and 19 are rejected under§ 103(a) over Novis, Bellows, Wiseman, and Kikta. Final Act. 19--24. Appellants do not separately argue these claims or the rejection. See generally Appeal Br. We sustain the rejection for reasons similar to those discussed above for claims 6 and 15, from which claims 14 and 19 respectively depend. DECISION We affirm the Examiner's rejection of claims 1, 4, 6-9, and 13-25 under§ 103(a). No time period for taking any subsequent action in connection with this appeal may be extended under 37 C.F.R. § 1.136(a)(l )(iv). AFFIRMED 12 Copy with citationCopy as parenthetical citation