Maintenance decision-making method for diesel engine fuel oil system through cost analysis in combination with Bayesian network model

A technology of Bayesian network and fuel system, which is applied in the field of diesel engine fuel system maintenance decision-making based on cost analysis combined with Bayesian network model. problem, to achieve the effect of ensuring operational safety

Active Publication Date: 2017-03-29
HARBIN ENG UNIV
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Its shortcoming is that the failure phenomena contained in the fuel system Bayesian network model established by this method are all engine global indicators, and the changes of these indicators will also be affected by the health of systems other than the fuel system (such as intake and exhaust systems). Therefore, these i...

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  • Maintenance decision-making method for diesel engine fuel oil system through cost analysis in combination with Bayesian network model
  • Maintenance decision-making method for diesel engine fuel oil system through cost analysis in combination with Bayesian network model
  • Maintenance decision-making method for diesel engine fuel oil system through cost analysis in combination with Bayesian network model

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Embodiment Construction

[0044] The present invention is described in more detail below in conjunction with accompanying drawing example:

[0045] to combine Figure 1-2 , the present invention comprises the following steps:

[0046] 1. Establish a Bayesian network model of the fuel system. In the Bayesian network model, the external symptom s i Including: aftermath fluctuation frequency increase s 1 , the amplitude of the aftermath oscillation decreases by s 2 , the injection duration increases s 3 , the crest factor increases s 4 , the kurtosis decreases s 5 , the needle valve opening pressure decreases s 6 , the maximum injection pressure decreases s 7 ;fault type f j Including: the oil return hole is too large f 1 , Plunger couple wear f 2 , Outlet valve failure f 3 , oil injection hole clogged f 4 , the card on the needle valve f 5 , Injector drip f 6 , Leakage of high-pressure oil pipe f 6 ;

[0047] 2. Collect the pressure signal of the high-pressure oil pipe of the diesel engin...

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Abstract

The purpose of the invention is to provide a maintenance decision-making method for a diesel engine fuel oil system through cost analysis in combination with a Bayesian network model. The method comprises the steps of: firstly, establishing the Bayesian network model of the diesel engine fuel oil system, and carrying out fault diagnosis on the fuel oil system based on the model to obtain an occurrence probability of each fault; secondly, carrying out non-dimensional processing on factors which influence a maintenance operation cost of the fuel oil system by use of a standardization formula; thirdly, fusing a plurality of influence factors in maintenance operations by use of an RBF (Radial Basis Function) neural network, and evaluating a corresponding maintenance cost; and finally, comprehensively evaluating a fault occurrence probability and a maintenance cost through a multiplication formula, and ordering the maintenance operations according to a product decreasing rule to obtain an optimal maintenance strategy of the fuel oil system. According to the method, through the cost analysis in combination with the Bayesian network model, the fault probability and the maintenance cost are comprehensively evaluated, and a decision making is carried out on a maintenance strategy of the fuel oil system so that a decision-making result has reference value.

Description

technical field [0001] The invention relates to an engine failure detection and maintenance method. Background technique [0002] The health status of the fuel system directly determines the performance of the diesel engine. Accurate diagnosis and effective maintenance of the health status of the fuel system are important to ensure the safe operation of diesel engines. However, the structure of the fuel system is complex, and the structure and function of each component are highly correlated, so there is a strong coupling between faults and external symptoms. For example, the failure of fuel injection timing in the fuel system may lead to a decrease in the maximum fuel injection pressure, and at the same time cause multiple external symptoms such as a shortened fuel injection duration; The failure of the oil valve, the cavitation of the plunger coupling, and the sticking (upper card) of the needle valve of the injector are the result of the joint action of the faults. The...

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Application Information

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IPC IPC(8): G06F17/50G06N3/08
CPCG06F30/20G06N3/08
Inventor 王忠巍王金鑫马修真费景洲
Owner HARBIN ENG UNIV
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