Coal mill operation fault identification method and application

Abstract

The invention provides a coal mill operation fault identification method. The coal mill operation fault identification method comprises the following steps: acquiring historical operation parameters of coal mill operation faults and corresponding fault types; standardizing the historical operation parameters; constructing a PCA (Principal Component Analysis) model and a corresponding T2 statisticmodel for the historical operating parameters corresponding to each fault type, and determining an early warning threshold of the fault; and substituting the to-be-identified parameters into T2 statistic models corresponding to different faults, and if the to-be-identified parameters exceed an early warning threshold, determining that a corresponding fault type exists. The invention further provides a coal mill operation detection system applying the method, and faults and reasons are rapidly determined by calculating real-time operation parameters and comparing the real-time operation parameters with early warning thresholds. The invention has the advantages that the contribution of the parameter to the abnormal reason is analyzed, so that the dependence on historical sample data is reduced; the recognition precision is improved; and online real-time monitoring and analysis of the running state are realized in combination with a monitoring model, so that the production safety is improved.

Description

technical field [0001] The invention relates to the technical field of thermal power generation, in particular to a coal mill operation fault identification method and its application. Background technique [0002] The coal mill is one of the main equipment of the thermal power unit. Common types of coal mill failures include excessive coal in the coal mill, less coal in the coal mill, coal blocking in the coal mill, etc. The failure of the coal mill equipment will seriously affect the thermal power unit. The safe and economical operation of the coal mill may even cause accidents such as serious equipment damage and personal injury; therefore, it is necessary to realize real-time monitoring of the operating status of the coal mill. [0003] Compared with real-time monitoring, it is a more urgent technical problem to realize effective early warning of coal mill operation failure; most of the existing technologies still rely on power plant operators to judge whether there is a...

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Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a method that can identify whether there is a fault in the coal mill according to the operating parameters, so as to overcome the problems of low accuracy and high dependence on sample data in the identification method of the prior art

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