开展状态监测和故障诊断，预报船舶主机可能发生的故障和故障的部位，对可靠性要求特别高的船用柴油机具有特别重要的意义。
The condition monitoring and fault diagnosis were carried out on Marine main diesel engine to forecast the faults which may occur and where they should occur.
该机具有结构简单合理，操作方便、运行稳定、故障和能耗低等特点。
This machine has simple and reasonable structure, convenient operation, stable in operation, low energy consumption and failure.
为此，本文研究如何利用神经网络诊断内燃机具体工作过程故障，属难度较大的二级诊断。
So In this paper, it is mainly studied how to diagnose the fault in working process by means of torsional vibration of crankshaft combining with BP NN, Which belongs to The Second Diagnosis Class.
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