US 11,755,878 B2
Methods and systems of diagnosing machine components using analog sensor data and neural network
Charles Howard Cella, Pembroke, MA (US); Gerald William Duffy, Jr., Philadelphia, PA (US); Jeffrey P. McGuckin, Philadelphia, PA (US); and Mehul Desai, Oak Brook, IL (US)
Assigned to Strong Force IoT Portfolio 2016, LLC, Fort Lauderdale, FL (US)
Filed by Strong Force IoT Portfolio 2016, LLC, Fort Lauderdale, FL (US)
Filed on Dec. 19, 2018, as Appl. No. 16/226,574.
Application 16/226,574 is a continuation of application No. 16/143,360, filed on Sep. 26, 2018, abandoned.
Application 16/143,360 is a continuation of application No. 15/973,406, filed on May 7, 2018.
Application 15/973,406 is a continuation in part of application No. PCT/US2017/031721, filed on May 9, 2017.
Application 16/143,360 is a continuation of application No. PCT/US2018/045036, filed on Aug. 2, 2018.
Application PCT/US2018/045036 is a continuation of application No. 15/973,406, filed on May 7, 2018.
Claims priority of provisional application 62/333,589, filed on May 9, 2016.
Claims priority of provisional application 62/350,672, filed on Jun. 15, 2016.
Claims priority of provisional application 62/412,843, filed on Oct. 26, 2016.
Claims priority of provisional application 62/427,141, filed on Nov. 28, 2016.
Claims priority of provisional application 62/540,557, filed on Aug. 2, 2017.
Claims priority of provisional application 62/562,487, filed on Sep. 24, 2017.
Claims priority of provisional application 62/583,487, filed on Nov. 8, 2017.
Claims priority of provisional application 62/540,513, filed on Aug. 2, 2017.
Prior Publication US 2019/0146478 A1, May 16, 2019
Int. Cl. G05B 23/02 (2006.01); G06N 3/006 (2023.01); G05B 19/418 (2006.01); H04L 67/12 (2022.01); H04L 1/00 (2006.01); H04B 17/309 (2015.01); G06N 5/046 (2023.01); G06N 3/02 (2006.01); H04B 17/318 (2015.01); H04L 67/1097 (2022.01); G05B 13/02 (2006.01); G06Q 30/02 (2023.01); H04W 4/70 (2018.01); G06Q 30/06 (2023.01); H04W 4/38 (2018.01); H04B 17/345 (2015.01); H04B 17/23 (2015.01); G16Z 99/00 (2019.01); B62D 15/02 (2006.01); G01M 13/028 (2019.01); G01M 13/04 (2019.01); G01M 13/045 (2019.01); G06N 3/084 (2023.01); G06N 3/088 (2023.01); G06Q 10/04 (2023.01); G06Q 10/0639 (2023.01); G06Q 50/00 (2012.01); H04L 1/18 (2023.01); H04L 1/1867 (2023.01); H03M 1/12 (2006.01); G06F 18/21 (2023.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 3/047 (2023.01); G06N 7/01 (2023.01); G06V 10/778 (2022.01); H02M 1/12 (2006.01); G06N 20/00 (2019.01); H04L 5/00 (2006.01); G05B 19/042 (2006.01); H04B 17/29 (2015.01); H04B 17/40 (2015.01); B62D 5/04 (2006.01); G06F 17/18 (2006.01); G06N 3/126 (2023.01); H04L 67/306 (2022.01); H01B 17/40 (2006.01); G06F 18/25 (2023.01)
CPC G06N 3/006 (2013.01) [B62D 15/0215 (2013.01); G01M 13/028 (2013.01); G01M 13/04 (2013.01); G01M 13/045 (2013.01); G05B 13/028 (2013.01); G05B 19/4183 (2013.01); G05B 19/4184 (2013.01); G05B 19/4185 (2013.01); G05B 19/41845 (2013.01); G05B 19/41865 (2013.01); G05B 19/41875 (2013.01); G05B 23/024 (2013.01); G05B 23/0221 (2013.01); G05B 23/0229 (2013.01); G05B 23/0264 (2013.01); G05B 23/0283 (2013.01); G05B 23/0286 (2013.01); G05B 23/0289 (2013.01); G05B 23/0291 (2013.01); G05B 23/0294 (2013.01); G05B 23/0297 (2013.01); G06F 18/2178 (2023.01); G06N 3/02 (2013.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 3/047 (2023.01); G06N 3/084 (2013.01); G06N 3/088 (2013.01); G06N 5/046 (2013.01); G06N 7/01 (2023.01); G06N 20/00 (2019.01); G06Q 10/04 (2013.01); G06Q 10/0639 (2013.01); G06Q 30/02 (2013.01); G06Q 30/0278 (2013.01); G06Q 30/06 (2013.01); G06Q 50/00 (2013.01); G06V 10/7784 (2022.01); G16Z 99/00 (2019.02); H02M 1/12 (2013.01); H03M 1/12 (2013.01); H04B 17/23 (2015.01); H04B 17/309 (2015.01); H04B 17/318 (2015.01); H04B 17/345 (2015.01); H04L 1/0002 (2013.01); H04L 1/0041 (2013.01); H04L 1/18 (2013.01); H04L 1/1874 (2013.01); H04L 67/1097 (2013.01); H04L 67/12 (2013.01); H04W 4/38 (2018.02); H04W 4/70 (2018.02); B62D 5/0463 (2013.01); G05B 19/042 (2013.01); G05B 23/02 (2013.01); G05B 23/0208 (2013.01); G05B 2219/32287 (2013.01); G05B 2219/35001 (2013.01); G05B 2219/37337 (2013.01); G05B 2219/37351 (2013.01); G05B 2219/37434 (2013.01); G05B 2219/37537 (2013.01); G05B 2219/40115 (2013.01); G05B 2219/45004 (2013.01); G05B 2219/45129 (2013.01); G06F 17/18 (2013.01); G06F 18/21 (2023.01); G06F 18/217 (2023.01); G06F 18/25 (2023.01); G06N 3/126 (2013.01); H01B 17/40 (2013.01); H04B 17/29 (2015.01); H04B 17/40 (2015.01); H04L 1/0009 (2013.01); H04L 5/0064 (2013.01); H04L 67/306 (2013.01); Y02P 80/10 (2015.11); Y02P 90/02 (2015.11); Y02P 90/80 (2015.11); Y04S 50/00 (2013.01); Y04S 50/12 (2013.01); Y10S 707/99939 (2013.01)] 23 Claims
OG exemplary drawing
 
1. A system comprising:
a plurality of sensors, wherein each of the plurality of sensors is operationally coupled to a respective data collection point of a machine component in an industrial environment and generates a respective stream of detection values relating to the respective data collection point of the machine component, wherein at least one of the plurality of sensors monitors a rotating machine component, and wherein the respective stream of detection values is digitally sampled and filtered waveform data from a respective one of the plurality of sensors; and
a data acquisition and analysis circuit for receiving the respective stream of detection values and structured to analyze the respective stream of detection values using an expert system analysis circuit, wherein the expert system analysis circuit determines an occurrence of an anomalous condition for the rotating machine component based on an analysis of the respective stream of detection values, wherein the expert system analysis circuit utilizes a neural network including at least one of a probabilistic, a time delay, or a convolutional neural network,
wherein the expert system analysis circuit controls a plurality of data collection bands for determining collection schedules of different groupings of the plurality of sensors, and
wherein the data collection bands each include one or more frequencies to be measured by a respective grouping of the plurality of sensors.