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Systems and methods for fault analysis

  • US 10,037,026 B2
  • Filed: 09/25/2014
  • Issued: 07/31/2018
  • Est. Priority Date: 09/25/2014
  • Status: Active Grant
First Claim
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1. A system, comprising:

  • sensors that capture one or more data measurements of machinery comprising a gas turbine having at least an inlet and a high pressure compressor, the one or more data measurements comprising;

    an efficiency of the high pressure compressor, a temperature at the inlet, a pressure at the inlet, a discharge pressure of the high pressure compressor, a power output of the gas turbine, or any combination thereof; and

    a protection monitoring system, comprising at least one processor configured to;

    accumulate the one or more data measurements and determine a trend of the one or more measurements of the machinery;

    analyze the trend of the one or more data measurements of the machinery to identify one or more patterns indicative of a potential future fault within the machinery in the trend; and

    generate a graphical user interface that provides a graphical indication of a fault prediction, generate and present an alarm that provides an indication of the fault prediction, generate and present an alert that provides an indication of the fault prediction, control, via a controller, the machinery by performing a tapered deceleration of machinery operating speeds or shut down of the machinery in response to the fault prediction, prior to a fault in the machinery, or any combination thereof based upon the identified one or more patterns;

    wherein;

    the one or more data measurements comprise at least the temperature at the inlet and the pressure at the inlet, and the analysis comprises;

    determining a quotient of a ratio of the temperature at the inlet to the pressure at the inlet, comparing the quotient with a predetermined threshold value, and when the quotient breaches the predetermined threshold value, predict a fault;

    orthe one or more data measurements comprise at least the efficiency of the high pressure compressor and the analysis comprises;

    identifying a spiked decrease in the efficiency of the high pressure compressor, and upon identifying the spiked decrease, predict a fault.

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