Research On Key Techniques Of Fault Analysis For16V240ZJD Diesel Engine

Diesel as a power source for other power machinery, plays an important position in the national economy. Keeping engine’s normal operating with controllable failure has long been the focus of not only diesel engine manufacturer but also of other diesel-related industries. With the relevant failure analysis techniques, we analyzed the fault of the whole life-cycle of diesel engine aiming to reduce diesel engine running faults and improve its reliability.The article proposes building the whole failure analysis framework for16V240ZJD type locomotive diesel engine to overcome drawbacks of current stage. The framework consists of sevral kinds of fault analysis technology, which are fault prediction, failure mode and effect analysis and fault tree analysis and so on. Failure mode and effect analysis as the foundation of the overall framework of failure analysis, is suitable to collect data that meets with the requirement of failure analysis for engine. Fault tree analysis has flexible characteristics that are suitable for fault diagnosis and retrospection of its cause. Failure prediction is as in the overall framework of the failure mode failure analysis of early warning mechanisms.The article uses the Failure mode and effect analysis to generalize five typical failure modes of camshaft:cutting, stripping, wear, crack on the surface of the CAM and camshaft burns. Take use of triangular fuzzy number to quantify the fuzzy linguistic description of failure, which can effectively solve the contradictions of the qualitative analysis and quantitative calculation. Meanwhile, in order to solve the insufficiency of traditional evaluation process based on integrated three variables, the method of TOPSIS was introduced to evaluate and sort those failure modes.At last, it summed up the implementation process of diesel engine failure analysis, and took five diesel engine camshaft failure modes as example to verify the evaluation that was theoretically based on fuzzy multi-attribute decision. Compared to traditional evaluation process based on integrated three variables, the method based on triangular fuzzy numbers division can reduce the uncertainty brought by Vague language. At the same time, compared to traditional FMEA based on risk priority number sorting method, TOPSIS decision integrated into a single assessment parameters measurement could avoid drawbacks of traditional method and thus improve the reliability of the CAM shaft failure evaluation.