Tractor engine fault diagnosis and prediction method

Abstract

The invention discloses a tractor engine fault diagnosis and prediction method. The method comprises the following steps: establishing data information of a fault symptom and a cause of a tractor engine; determining an input variable, an output variable and an intermediate variable of a petri network; performing fuzzy processing on the input variable and the intermediate variable; constructing a fuzzy neural petri network model; and performing fault diagnosis and prediction on the tractor engine by using the fuzzy neural petri network model. The Petri network can not only represent the structural organization relationship of a diagnosis object, but also can reflect a diagnosis reasoning process, meanwhile can well express a change relationship between system state and behavior, and accurately describe the fault generation and propagation characteristics. The tractor engine fault diagnosis and prediction method disclosed by the invention not only has good timeliness, but also has relatively high accuracy.

Description

technical field [0001] The invention relates to a fault diagnosis and prediction method, in particular to a tractor engine fault diagnosis and prediction method. Background technique [0002] Fault diagnosis is to find the source of the fault based on the equipment operating status information. After more than 30 years of development, this technology has made great progress. From the initial signal analysis-based to the knowledge-based intelligent diagnosis system, the accuracy of fault diagnosis has been continuously improved, and the application range of fault diagnosis has become more and more extensive. As far as my country's current national conditions are concerned, agricultural production still occupies a large proportion, and tractors, as the most widely used agricultural machinery and equipment in agricultural activities, are the main source of power for agricultural production activities, and the occurrence of tractor failures will directly affect agricultural prod...

AI Technical Summary

Problems solved by technology

[0003] At present, tractor engine failure accidents account for a large proportion of tractor failures, and the fault diagnosis of tractor engines is often carried out by relevant technical personnel through experience or professional fault diagnosis instruments after the tractor fails. Specific fault location and fault type It often takes a lot of time and effort to determine a specific cause of failure

The fault information of the tractor engine is not like some simple equipment faults and causes which have a one-to-one correspondence. There is a complex correspondence between the fault symptoms and the fault causes of the tractor engine. A fault may be caused by many factors, while a Factors may cause a variety of failures, so how to make accurate judgments and timely diagnosis of tractor engine failures becomes very complicated

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