Fuzzy DCD-based wet metallurgy dense washing process fault diagnosis method

Abstract

The invention belongs to the technical field of wet metallurgy dense washing process fault diagnosis, and particularly relates to a fuzzy DCD-based wet metallurgy dense washing process fault diagnosismethod. The method comprises the following steps: determining a dense washing process DCD event and event variables, wherein the DCD event comprises a node event and an intermediate event; accordingto the DCD event and the event variable, determining a causal relationship and a connection probability between the event variables, and establishing a causal graph model; whether the thickening washing process is abnormal or not is monitored in real time through real-time operation data collected in the actual process; and if it is monitored that a variable is in an abnormal state, dividing an intermediate event in the causal graph structure model into abnormal intervals by using a fuzzy thought, and describing the abnormal intervals by using a partship function to obtain a fault diagnosis result. According to the method, qualitative information and quantitative information can be combined, online fault diagnosis is carried out according to the monitored abnormal phenomenon, and a fault reason is given.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis of hydrometallurgical dense washing process, in particular to a method for fault diagnosis of hydrometallurgical dense washing process based on fuzzy DCD. Background technique [0002] With the rapid development of society and economy, the demand for mineral resources is increasing day by day, but the reserves of high-grade ore are constantly declining. Hydrometallurgical technology has begun to attract great attention from all over the world. Hydrometallurgy is a commonly used metallurgical method for processing low-grade ores. Compared with traditional pyrometallurgy, it has the advantages of high efficiency, cleanliness, and environmental protection. Although my country is one of the few countries in the world with rich mineral resources and diverse mineral types , in terms of the quality of the ore itself, the overall quality of my country's minerals is not high, so the metallurgical te...

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Problems solved by technology

Traditional hydrometallurgical process fault diagnosis methods are mainly PCA-based methods based on data processing, while the hydrometallurgical production process is relatively complex, with many process parameters and many variables that are difficult to monitor directly. Data-based approach to fault diagnosis is difficult

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