CPC G01H 1/003 (2013.01) [G01M 13/028 (2013.01); G06N 3/045 (2023.01)] | 19 Claims |
1. A computer-implemented method of indicating machine failures, the method comprising:
receiving at least one input signal based on at least one physical quantity of at least one machine part of a machine, monitored by at least one sensor;
transforming the at least one input signal into at least one feature having a different domain and/or a different reference value than the at least one input signal, wherein the at least one input signal is transformed into a spectrum of the at least one input signal and into stochastic features for predominant parts of the spectrum; and
predicting a class and/or a severity of at least one machine failure based on the at least one feature by a neural network trained on specific patterns of the at least one feature or combinations of patterns of more than one feature indicative of specific machine failures.
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