Neural network based system for equipment surveillance
Patent
·
OSTI ID:644423
A method and system are disclosed for performing surveillance of transient signals of an industrial device to ascertain the operating state. The method and system involves the steps of reading into a memory training data, determining neural network weighting values until achieving target outputs close to the neural network output. If the target outputs are inadequate, wavelet parameters are determined to yield neural network outputs close to the desired set of target outputs and then providing signals characteristic of an industrial process and comparing the neural network output to the industrial process signals to evaluate the operating state of the industrial process. 33 figs.
- Research Organization:
- University of Chicago
- Sponsoring Organization:
- USDOE, Washington, DC (United States)
- DOE Contract Number:
- W-31109-ENG-38
- Assignee:
- ARCH Development Corp., Chicago, IL (United States)
- Patent Number(s):
- US 5,745,382/A/
- Application Number:
- PAN: 8-521,892
- OSTI ID:
- 644423
- Country of Publication:
- United States
- Language:
- English
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