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Ordering abnormal detection system of gas turbine

A gas turbine and anomaly detection technology, which is applied in gas turbine engine testing, jet engine testing, computer components, etc., can solve problems such as low data quality, huge amount of data information, and low sensor analysis efficiency

Inactive Publication Date: 2016-10-26
中国船舶重工集团公司第七〇三研究所
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Problems solved by technology

[0003] In order to solve the problems of large amount of data information collected by sensors of gas turbines, low data quality, low analysis efficiency of sensors, and high degree of misjudgment, the present invention provides a gas turbine data sorting anomaly detection system and method, which can be used on a large scale promotion and use

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  • Ordering abnormal detection system of gas turbine

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Embodiment Construction

[0028] refer to figure 1 , a sorting anomaly detection system of a gas turbine, the detection system includes a data interface module, a data preprocessing module, a feature extraction module, a sorting module and an anomaly evaluation module.

[0029] The detection method of the detection system is as follows:

[0030] Step 1. Obtain monitoring data from the monitoring software of the gas turbine through the data interface module

[0031] 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, 3# bearing Y vibration, 3# bearing X Vibration, 2# bearing Y vibration, 2# bearing X vibration, 1# bearing Y vibration, 1# bearing X vibration, average exhaust temperature, exhaust temperature in 0 degree direction, exhaust temperature in 30 degree direction, 60 degree direction Exhaust temperature in the direction of 90 degrees, exhaust temperature...

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Abstract

The invention belongs to the technical field of gas turbine equipment and specifically relates to an ordering abnormal detection system of a gas turbine. A data interface module of the system is used for obtaining monitored data from monitoring software of the gas turbine. A data pre-processing module firstly arranges n pieces of monitored data as Xi, further standardizes Xi into X'i and filters the noise in the X'i data, and finally the data Yi after smoothing is obtained; a characteristic extracting module calculates change characteristics Zi of Yi and carries out discretization on Zi to obtain Z'I, each value in Z'I is replaced by a letter, and the result after replacing is Fi; an ordering module orders Fi with a BWY conversion algorithm, and the result is Gi; and an abnormal evaluation module takes the data points shown in the specification and searches Q for the corresponding positions in Xi of the taken data points, and the positions are the abnormal data points. According to the invention, the requirement on the calculation resources is low, the time and space cost is relatively low, the abnormal data points are expressed by a frequentness mode, and the accountability is high.

Description

Technical field: [0001] The invention belongs to the technical field of gas turbine equipment, and in particular relates to a sorting anomaly detection system 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. 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 i...

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Application Information

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IPC IPC(8): G01M15/14G06K9/62
CPCG01M15/14G06F18/2113G06F18/213
Inventor 王伟影徐志强崔宝唐瑞
Owner 中国船舶重工集团公司第七〇三研究所
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