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Electrical signature analysis of electrical rotating machines

  • US 10,403,116 B2
  • Filed: 06/20/2017
  • Issued: 09/03/2019
  • Est. Priority Date: 06/20/2017
  • Status: Active Grant
First Claim
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1. A system comprising:

  • an electrical rotating machine;

    a data acquisition device configured to detect and provide at least electrical data associated with the electrical rotating machine; and

    an equipment controller communicatively coupled to the data acquisition device, the equipment controller being configured to;

    in a learning mode;

    ascertain initial information associated with the electrical rotating machine;

    assign a plurality of operational conditions associated with the electrical rotating machine to a plurality of buckets, wherein at least one bucket of the plurality of buckets is associated with at least one load window selected from a plurality of load windows;

    record the electrical data to obtain a pre-defined number of sets of learning data;

    determine, based at least on the initial information and the learning data, that the electrical rotating machine is in a healthy condition; and

    based on a determination that the electrical rotating machine is in the healthy condition;

    obtain, based on the learning data, baseline data associated with the at least one bucket;

    generate, based on the baseline data, a threshold associated with the at least one bucket and at least one fault frequency associated with the electrical rotating machine; and

    generate, based on the threshold and the baseline data, at least one alarm concerning a state of the electrical rotating machine, the electrical rotating machine running within operational conditions associated with the at least one bucket, wherein the equipment controller configured to generate the threshold is further configured to;

    compute variations for the sets of the learning data associated with the at least one bucket;

    select sets with variation less than a pre-determined value;

    convert the learning data associated with the selected sets from a time domain to a frequency domain to obtain sets of frequency data;

    average the sets of frequency data to obtain the baseline data;

    compute a standard deviation of the frequency data for at least one fault frequency; and

    determine, based on the standard deviation, the threshold associated with the at least one fault frequency and the at least one bucket, wherein the equipment controller configured to generate the threshold is further configured to compute the threshold by multiplying a standard deviation by a predetermined constant value, the predetermined constant value being selected based on an expected false positive error.

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