Neural network based analysis system for vibration analysis and condition monitoring
First Claim
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1. A vibration analysis system for monitoring an operating device comprising:
- at least one vibration sensor;
transform circuitry, coupled to the sensors, for transforming sensor outputs to frequency spectrum information;
a fuzzy adaptive resonance-type neural network for receipt and processing of the information to generate selected output information.
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Abstract
A system and a method for tracking long term performance of a vibrating body such as a gas turbine, includes a vibration sensor who time domain outputs are transformed to the frequency domain, using a fast Fourier transform processing. Frequency domain outputs are provided as inputs to a fuzzy adaptive resonance theory neural network. Outputs from the network can be coupled to an expert system for analysis, to display devices for presentation to an operator or are available for other control and information purposes.
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Citations
37 Claims
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1. A vibration analysis system for monitoring an operating device comprising:
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at least one vibration sensor;
transform circuitry, coupled to the sensors, for transforming sensor outputs to frequency spectrum information;
a fuzzy adaptive resonance-type neural network for receipt and processing of the information to generate selected output information. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19)
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20. A method of analyzing vibrations generated by a device comprising:
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training a resonant-type neural network to recognize a normal class of vibrations from the device using frequency domain inputs from comparable, normally functioning devices;
detecting vibrations from the device to be monitored;
converting the detected vibrations to a frequency domain representation using a variance reduced transform process;
presenting the frequency domain information serially to the trained network;
processing the information in the network; and
determining if the detected vibrations are outside of the normal operating mode of the device.- View Dependent Claims (21, 22, 23, 24, 25)
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26. A software based vibration analysis system comprising:
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executable instructions for transforming an input time domain signal to a frequency domain representation;
instructions for analyzing and normalizing the frequency domain representation; and
instructions for implementing a resonant-type neural network including instructions for implementing network short term and longer term memory wherein nominal, expected characteristics of a selected type of device being analyzed can be stored. - View Dependent Claims (27, 28, 29)
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30. An apparatus comprising:
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a movable vessel;
a turbine for moving the vessel;
at least one vibration sensor coupled to the turbine;
at least one speed sensor coupled to the turbine;
a processor for comparing digital frequency domain representations of the signals from at least the vibration sensor to prestored expected, frequency domain representations of turbine vibrations wherein the processor implements a software based, resonant-type neural network to carry out the comparing process. - View Dependent Claims (31, 32, 33, 34, 35, 36, 37)
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Specification