| 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 19/41845 (2013.01); G05B 19/4185 (2013.01); G05B 19/41865 (2013.01); G05B 19/41875 (2013.01); G05B 23/0221 (2013.01); G05B 23/0229 (2013.01); G05B 23/024 (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); G06V 10/82 (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)] | 20 Claims |

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1. An expert system for processing a plurality of inputs collected from sensors in an industrial environment, comprising:
a modular neural network, including at least two types of neural networks, that receives the plurality of inputs,
wherein the expert system uses the modular neural network to:
recognize a pattern relating to at least one of the sensors or corresponding components of the industrial environment, wherein the pattern is recognized utilizing a first type of neural network of the at least two types of neural networks resulting in a recognized pattern; and
self-organize a data collection activity of the at least one of the sensors or the corresponding components of the industrial environment, wherein the data collection activity is self-organized utilizing a second type of neural network of the at least two types of neural networks based, at least in part, on the recognized pattern from the first type of neural network, resulting in a self-organized data collection activity, and
wherein the at least two types of neural networks are distinct.
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