Method for detecting abnormal sequencing of gas turbine engine

A gas turbine and anomaly detection technology, which is used in engine testing, machine/structural component testing, measuring devices, etc., and can solve the problems of huge amount of data information, low sensor analysis efficiency, and low data quality.

Active Publication Date: 2012-03-28
NANJING POWER HORIZON INFORMATION TECH CO LTD
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AI Technical Summary

Problems solved by technology

[0004] The present invention aims to solve the problems of huge amount of data information collected by sensors of gas turbines, low data quality, low analysis efficiency of sensors, and high degree of misjudgment, and provides a method for abnormal detection of symbolic data of steam turbines

Method used

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  • Method for detecting abnormal sequencing of gas turbine engine
  • Method for detecting abnormal sequencing of gas turbine engine
  • Method for detecting abnormal sequencing of gas turbine engine

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specific Embodiment approach 1

[0022] Specific implementation mode 1: The specific steps of the abnormality detection method of the gas turbine in this implementation mode are as follows:

[0023] Step 1: Obtain monitoring data from the monitoring software of the gas turbine, and the monitoring data are gearbox vibration, generator DEX vibration, generator DEY vibration, generator EEX vibration, generator EEY vibration, gas generator speed, generator total Actual power, Y vibration of 3# bearing, X vibration of 3# bearing, Y vibration of 2# bearing, X vibration of 2# bearing, Y vibration of 1# bearing, X vibration of 1# bearing, average temperature of exhaust gas, exhaust gas in 0 degree direction Temperature, exhaust temperature in the direction of 30 degrees, exhaust temperature in the direction of 60 degrees, exhaust temperature in the direction of 90 degrees, exhaust temperature in the direction of 120 degrees, exhaust temperature in the direction of 150 degrees, exhaust temperature in the direction of 1...

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Abstract

The invention relates to a method for detecting abnormal sequencing of a gas turbine engine, and aims to solve the problems that the data information collected by the sensor of the conventional gas turbine engine is large, the data quality is poor, the analysis efficiency of the sensor is low, and the misjudgement possibility is high. The method is as follows: acquiring monitoring data from a monitoring software of the gas turbine engine; arranging n monitoring data with the sampling time interval into Xi; normalizing the Xi into X'I; filtering noise in the X'I, and further obtaining the smooth data Yi; calculating the variation characteristic of Yi and marking the variation characteristic with Zi; performing the discretization of Zi to get Z'i; replacing all the values in the Z'i with letters, and obtaining Fi as the result after the replacement; sequencing the Fi through the BWT alternation algorithm, and recording the result with Gi; acquiring [Pifrq(W)*r]data points in the W section of Gi; finding the corresponding positions in the Xi of the acquired data points in Q, and therefore obtaining the abnormal data point. The invention has low computing resource requirement and lower time and space cost, and the abnormal data point expressed through frequentness is strongly illustrative.

Description

technical field [0001] The invention relates to a sorting abnormality detection method of a gas turbine. Background technique [0002] As an important giant 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. In reality, the safe and reliable work of gas turbines is highly required. Under the daily working conditions of gas turbines, analyzing and monitoring the health of the units and analyzing and detecting various abnormal situations that may occur can avoid or facilitate timely handling of gas turbines. Major failure of the machine. [0003] At present, all gas turbine manufacturers have installed more sensors on the turbines to monitor the working status of the turbines. The data information (such as gas turbine speed, inlet and outlet temperature, etc.) monitored and recorded is of great significance and use value to the operation guarantee...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M15/00
Inventor 贺惠新刘丹华于达仁
Owner NANJING POWER HORIZON INFORMATION TECH CO LTD
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