Characteristic parameter discretization method for power transmission and transformation equipment
A technology of power transmission and transformation equipment and characteristic parameters, applied in the direction of complex mathematical operations, etc., can solve the problems of unreasonable discrete intervals, strong subjectivity, adverse effects of association rule mining, etc., achieve good practicability and promotion prospects, and ensure reasonable Effects on Sexuality and Effectiveness
Inactive Publication Date: 2018-07-20
GUIZHOU POWER GRID CO LTD
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[0004] The technical problem to be solved by the present invention is to provide a method for discretizing the characteristic parameters of power transmission and transformation equipment, so as to solve the problem that the prior art method of discretizing the characteristic parameters of power transmission and transformation equipment often relies on people or related specifications to set the boundary value, which is relatively subjective. Strong, ignoring the characteristics of the equipment and the changing rules of the data, often resulting in unreasonable discrete intervals, and bringing adverse effects on association rule mining and other technical problems
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[0015] A method for discretizing characteristic parameters of power transmission and transformation equipment, comprising:
[0016] Step 1. Collect the historical time series measurement data of the characteristic parameters of the power transmission and transformation equipment to be discrete, use the probability density function to obtain the distribution law of the parameter, and integrate the probability density function to obtain the cumulative distribution function;
[0017] Step 2. Assume that the power transmission and transformation equipment has N health states, and count the probability that the equipment in operation with the same model as the power transmission and transformation equipment is in different health states, P=[p 1 p 1 ...p N ], p N Indicates the statistical probability that all devices of this type are in state N. And accumulate the distribution probability once,
[0018] Get cumulative distribution probability F=[F 1 F 2 ...F N-1 1];
[...
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The invention discloses a characteristic parameter discretization method for power transmission and transformation equipment. The method comprises the steps that whole-parameter historical data of characteristic parameters to be discretized of the power transmission and transformation equipment is collected, a distribution rule of the parameters is obtained by using a probability density function,and a cumulative distribution function is calculated according to the probability density function; it is supposed that the power transmission and transformation equipment has N kinds of health states, probabilities of running equipment with the same type of the power transmission and transformation equipment in different health states are counted, and distribution probabilities are accumulated at a time to obtain cumulative distribution probabilities; the cumulative distribution probabilities are introduced to an inverse cumulative distribution function of the characteristic parameters in sequence, N corresponding mapping values are obtained, N discrete intervals are obtained accordingly, and the characteristic parameters are discretized. The technical problems are solved that in the prior art, an existing characteristic parameter discretization method for the power transmission and transformation equipment is high in subjectivity, equipment characteristics and the change rule of data are ignored, the discrete intervals are unreasonable, and the adverse effect is brought to mining of association rules.
Description
technical field [0001] The invention belongs to the field of on-line monitoring and state evaluation of power equipment, in particular to a discretization method for characteristic parameters of power transmission and transformation equipment. Background technique [0002] In the context of the power system gradually entering the era of big data, applying big data analysis technology to the field of power transmission and transformation equipment status evaluation will improve the accuracy and timeliness of fault diagnosis of power transmission and transformation equipment, and ensure that power transmission and transformation equipment and power The safe and stable operation of the system is of great significance. [0003] As a key big data analysis method, association rule mining algorithms have been widely used. The data sets used in association rule analysis are all discrete data sets, and the data obtained through online monitoring are all continuous values, so all con...
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CPCG06F17/15
Inventor 谢荣斌马春雷李钟萍朱俊陈宣林周从波王建国高鸣
Owner GUIZHOU POWER GRID CO LTD