Self-adaptive on-line monitoring data trend extraction method

A technology for monitoring data and trend extraction, applied in electrical digital data processing, special data processing applications, instruments, etc., can solve the problem that the method of mathematical morphology filtering cannot adaptively meet the online monitoring data trend, cannot be known a priori, etc. problems, to achieve strong adaptability, reduce IMF components, and speed up the screening process

Active Publication Date: 2014-03-05
STATE GRID CORP OF CHINA +2
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Problems solved by technology

The determination of the window width is also difficult to solve. Generally, the window width must be larger than the maximum pulse noise width in the data to obtain a smoother filtering effect, but this cannot be known a priori
Therefore, the method of mathematical morphology filtering cannot adaptively meet the needs of online monitoring data trend extraction

Method used

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  • Self-adaptive on-line monitoring data trend extraction method
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Embodiment Construction

[0020] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0021] The invention provides an adaptive on-line monitoring data trend extraction method, which combines two methods of combined morphological filter and empirical mode decomposition, first dynamically constructs an adaptive morphological filter structural element, and uses the morphological filter The structural elements are filtered, and then the empirical mode decomposition is performed, and then the trend item is constructed according to the characteristics of the processed data, and finally the trend warning is carried out according to the trend item. The method specifically includes the following steps:

[0022] (1) Dynamically calculate the standard deviation of the original sequence, and use the standard deviation as a radius to construct a semicircular structural element as a morphological filter structural element.

[0023...

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Abstract

The invention relates to a self-adaptive on-line monitoring data trend extraction method. According to the method, a combined morphological filter method and an empirical mode decomposition method are combined, firstly, a self-adaptive morphological filter structural element is built dynamically, and filtering is performed by the adoption of the morphological filter structural element so as to perform empirical mode decomposition; secondly, a trend term is built according to the characteristics of processed data; finally, trend pre-alarm is performed according to the trend term. The self-adaptive on-line monitoring data trend extraction method is high in operation performance, high in adaptability and good in use effect.

Description

technical field [0001] The invention relates to the technical field of real-time extraction of online monitoring data change trends, in particular to a rapid online trend extraction method for online monitoring data adaptation of power transmission and transformation equipment. Background technique [0002] In recent years, condition-based maintenance has been widely promoted in the State Grid Corporation of China, and on-line monitoring, which is an important technical means of condition-based maintenance, has also developed rapidly. On-line monitoring data is real-time, abundant, and huge in quantity. It is an important way to grasp the status of equipment when the routine test cycle of equipment is extended. However, the online monitoring device is easily disturbed by environmental temperature and humidity, load, switching operation and other factors, resulting in frequent data fluctuations. The method of using a single data collection for status alarm often produces fals...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 陈强林承华陈金祥梁曼舒何金栋汤振立
Owner STATE GRID CORP OF CHINA
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