Health monitoring and diagnostic/prognostic system for an ORC plant
First Claim
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1. A diagnostic system for on-line monitoring and analysis of vibrational performance of a turbine generator for the purpose of determining the operational condition of its components, comprising:
- at least one sensor attached to said turbine generator for sensing vibrations thereof and for generating representative vibration signals;
a signal processor for receiving said vibration signals and for generating pdf signals that are representative of their probability density functions; and
comparing means for comparing said pdf signals with predetermined values for determining whether a fault exists in the components.
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Abstract
An organic rankine cycle turbine generator includes one or more embedded sensor devices that incorporate both a 3-axis accelerometer and a digital signal processing board. The device monitors, processes, analyses and stores vibrational data to determine whether and when the defect occurs in a turbine or generator component so that appropriate action may be taken. Prognostic analysis is also performed to determine the life of a faulty component.
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Citations
20 Claims
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1. A diagnostic system for on-line monitoring and analysis of vibrational performance of a turbine generator for the purpose of determining the operational condition of its components, comprising:
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at least one sensor attached to said turbine generator for sensing vibrations thereof and for generating representative vibration signals;
a signal processor for receiving said vibration signals and for generating pdf signals that are representative of their probability density functions; and
comparing means for comparing said pdf signals with predetermined values for determining whether a fault exists in the components. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. A method of monitoring an on-line turbine generator for possible faults in its rotational components comprising the steps of:
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sensing the vibration of the components and generating representative vibrational signals thereof;
applying a wavelet transform (wt) to the filtered signals to obtain representative wavelet coefficients;
calculating the probability density function (pdf) of the wavelet coefficients; and
comparing said pdf with stored data to determine whether a fault exists. - View Dependent Claims (15, 16, 17, 18, 19, 20)
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Specification