Neighbor 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 simple and limited fault monitoring level, excessively large amount of information, and insufficient early warning technology

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 the existing gas turbine sensors that collect a large number of data, excessively large amount of information, insufficient early warning technology, simple and limited fault monitoring level, and high degree of misjudgment, the present invention provides a gas turbine neighbor anomaly detection system and detection method , can be promoted and used on a large scale

Method used

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  • Neighbor abnormal detection system of gas turbine
  • Neighbor abnormal detection system of gas turbine
  • Neighbor abnormal detection system of gas turbine

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Embodiment Construction

[0030] Referring to the figures, a gas turbine neighbor anomaly detection system includes a data interface module, a feature extraction module, a similarity measurement module, a density measurement module, an anomaly factor module and an anomaly evaluation module.

[0031] The detection method steps of this detection system are as follows:

[0032] Step 1. Obtain monitoring data and input parameters through the data interface module

[0033] Obtain G monitoring data at different times from the monitoring software of the gas turbine, and use P below k Indicates the first The monitoring value at a moment, where 1≤k≤G; and input parameters: the number of neighborhood objects , abnormal reference ratio β;

[0034] Step 2. Extract the feature quantities that characterize the characteristics of different moments through the feature extraction module

[0035] Select feature quantities from monitoring data , where 1≤ ≤29, which corresponds to the values ​​of the following 29 ...

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Abstract

The invention belongs to the technical field of gas turbine equipment and specifically relates to a neighbor abnormal detection system of a gas turbine. The system comprises the implementation steps of: obtaining monitoring data and input parameters; extracting characteristic quantities representing different moment characteristics; establishing a global distance matrix measuring similarity among the sample points at different moments; obtaining a local reachable density of each sample from G samples and a set of neighbor sample points; comparing the local reachable density of each sample with that of other samples in a neighbor domain, and calculating an abnormal score of each sample; and ordering the amounts of the abnormal score results of the samples, and obtaining a set of abnormal samples. According to the invention, the requirement on calculation resources is low, the time and space cost is relatively low, the data is rapidly calculated based on a linear calculation mode, the abnormal data points are finally expressed, 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 neighboring 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 record...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M15/14G06K9/62
CPCG01M15/14G06F18/23G06F18/22
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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