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Gas turbine anomaly detection method based on quality control chart theory

An anomaly detection and control chart technology, applied to computer components, instruments, character and pattern recognition, etc., can solve problems such as large amount of calculation, high degree of misjudgment, and inability to realize potential data anomalies, and achieve the effect of real-time anomaly detection

Active Publication Date: 2022-03-25
中国船舶重工集团公司第七0三研究所
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Problems solved by technology

The method based on the threshold alarm of the unit protection system cannot realize the online detection of potential data anomalies (including: data trend anomalies, small data jumps, single-point jumps, etc.), and the abnormal detection method based on the gas path model detects sensor information The amount of calculation is large, and the degree of misjudgment is high

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  • Gas turbine anomaly detection method based on quality control chart theory
  • Gas turbine anomaly detection method based on quality control chart theory

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Embodiment Construction

[0020] The present invention is described in more detail below in conjunction with accompanying drawing example:

[0021] combine Figure 1-2 , the gas turbine anomaly detection based on the quality control chart theory is divided into the following steps:

[0022] data preparation:

[0023] Obtain real-time time-series operation data of the measuring points to be detected for a period of time (denoted as t) of the gas turbine and divide it into model building data column a and anomaly detection data column b in chronological order;

[0024] (1) Obtain the time-series operation data of the measuring point (such as speed n) of the gas turbine to be detected (such as speed n) for a period of time (such as 30min is recorded as t) through the real-time database or the measurement and control system;

[0025] (2) Divide these data into two parts in chronological order, the first half is recorded as model construction data column a; the second half is recorded as abnormal detectio...

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Abstract

The invention aims to provide a gas turbine anomaly detection method based on a quality control chart theory. The gas turbine anomaly detection method comprises the following steps: acquiring time sequence operation data of time t of a to-be-detected measurement point of a gas turbine in real time, and dividing the time sequence operation data into a model construction data column a and an anomaly detection data column b according to a time sequence; constructing an upper boundary and a lower boundary of the anomaly detection model through a method of giving a standard deviation multiple m of a model construction data column a, and calculating a mean value of the model construction data column a as a control center line of the anomaly detection model; selecting one or more corresponding detection rules based on a quality control chart theory according to gas turbine operation experience and to-be-detected data point characteristics; and detecting data of an abnormal detection data column b by using the model, if the data accords with the description of the detection model, indicating that the data of the data point is abnormal, otherwise, repeating the process after t / 3 time so as to realize real-time iterative anomaly detection. According to the invention, health monitoring and fault pre-judgment can be effectively carried out on mass highly complex system information data of the gas turbine.

Description

technical field [0001] The invention relates to a gas turbine control method, in particular to a gas turbine detection method. Background technique [0002] As an important power machine, the gas turbine has the characteristics of compact structure, stable operation, high thermal efficiency, etc., and its application range is becoming wider and wider. The safe and reliable work of gas turbines is very demanding. Under the daily working conditions of gas turbines, monitoring the health of the units and analyzing and detecting various possible abnormal situations can avoid or facilitate timely handling of large-scale failures of gas turbines. . [0003] The traditional unit anomaly detection method is mainly based on the threshold alarm of the unit protection system and the comparative analysis of the results based on the unit simulation model. The method based on the threshold alarm of the unit protection system cannot realize the online detection of potential data anomalie...

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/2433
Inventor 林枫王伟影孙鹏胡汀栾永军杜玉锋
Owner 中国船舶重工集团公司第七0三研究所
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