Marine diesel engine fault location method based on union belief rule base and ant colony algorithm

Abstract

The invention relates to a marine diesel engine fault location method based on a union belief rule base and an ant colony algorithm. The method of the invention comprises steps of collecting oil samples from a marine diesel engine oil monitoring system, detecting concentration of elements in the collected oil samples and then obtaining oil characteristics reflecting a wear fault location of the diesel engine; determining a reference values set of input characteristic parameter variables, and establishing a similarity of the input characteristic parameter variables to the reference values; performing fusion reasoning on activated rules in a rule base, determining a reliability value of a fault type, and taking the fault type corresponding to the maximum reliability value as an output of a fault location model; constructing an optimization model and solving the optimization model with an ant colony algorithm to obtain an optimal rule base, taking the optimal rule base as the final marinediesel engine fault location model and using the optimal rule base to obtain a more accurate fault type identification result. In the invention, the union belief rule base has fewer rules, less 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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