Fault location method of marine diesel engine based on union confidence rule base and ant colony algorithm

Abstract

The invention relates to a marine diesel engine fault location method based on a union confidence rule base and an ant colony algorithm. The invention collects oil samples from a marine diesel engine oil monitoring system, detects the element concentration of the collected oil samples, obtains oil characteristics reflecting the location of diesel engine wear and tear faults; determines the reference value set of input characteristic parameter variables, and establishes an initial rule base , calculate the similarity between the input characteristic parameter variable and the reference value; perform fusion reasoning on the activated rules in the rule base, determine the reliability value of the fault type, and take the fault type corresponding to the maximum reliability value as the output of the fault location model; Construct an optimization model, use the ant colony algorithm to solve the optimization model, and obtain the optimal rule base. The optimal rule base is used as the final marine diesel engine fault location model, and use the optimal rule base to obtain more accurate fault type identification results. The confidence rule base of the union set in the present invention has few rules, few optimization parameters and short optimization time.

Description

technical field [0001] The invention belongs to the technical field of traffic safety operation maintenance and fault diagnosis, and relates to a marine diesel engine fault location method based on a union confidence rule base and an ant colony algorithm. Background technique [0002] Diesel engine is the power equipment for the operation of the ship. Any damage or failure of its components will have an important impact on the efficiency and safety of the ship's navigation; the failure of the diesel engine will often cause a series of chain reactions, even equipment collapse and system paralysis. Finally, the ship runs slowly or stops running, and wear fault is one of the main types of marine diesel engine faults, so it is of great significance to carry out diagnostic research on marine diesel engine faults. [0003] The common wear faults of diesel engines mainly include abnormal wear of main bearing, abnormal wear of cylinder liner-piston ring, abnormal wear of piston and ...

AI Technical Summary

Problems solved by technology

[0003] The common wear faults of diesel engines mainly include abnormal wear of main bearing, abnormal wear of cylinder liner-piston ring, abnormal wear of piston and lubricating oil pollution; oil samples are collected from the online oil monitoring system of medium-speed diesel engines, and the chemical components in the oil samples are analyzed by oil spectrum analysis The concentration of elements (Fe, Al, Pb, Si) is detected to determine the location of the fault; however, there are many uncertainties in the process of oil collection and oil sample feature extraction, so the confidence rule base method is used to deal with diesel engine wear Uncertain information in fault diagnosis; however, the currently widely used confidence rule base based on intersection has many rules, which has the risk of combinatorial explosion, many optimization parameters, long optimization time, and falling into local optimization.

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