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A marine propulsion system is a very complicated system composed of many mechanical components.As a result,the vibration signal of a gearbox in the system is strongly coupled with the vibration signatures of other components including a diesel engine and main shaft.It is therefore imperative to assess the coupling effect on diagnostic reliability in the process of gear fault diagnosis.For this reason,a fault detection and diagnosis method based on bispectrum analysis and artificial neural networks (ANNs) was proposed for the gearbox with consideration given to the impact of the other components in marine propulsion systems.To monitor the gear conditions,the bispectrum analysis was first employed to detect gear faults.The amplitude-frequency plots containing gear characteristic signals were then attained based on the bispectrum technique,which could be regarded as an index actualizing forepart gear faults diagnosis.Both the back propagation neural network (BPNN) and the radial-basis function neural network (RBFNN) were applied to identify the states of the gearbox.The numeric and experimental test results show the bispectral patterns of varying gear fault severities are different so that distinct fault features of the vibrant signal of a marine gearbox can be extracted effectively using the bispectrum,and the ANN classification method has achieved high detection accuracy.Hence,the proposed diagnostic techniques have the capability of diagnosing marine gear faults in the earlier phases,and thus have application importance. 相似文献
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大型船舶推进系统与船体耦合动力学研究综述 总被引:2,自引:0,他引:2
船舶推进系统-船体的动力学耦合理论是适应船舶大型化发展趋势和提高大型船舶航行性能的理论基础,需要解决大型船舶的大尺度效应、多参数耦合作用以及不确定航行环境与状态对船舶推进系统影响的理论问题,并探索通过改善推进系统的自适应性和工作可靠性来提升船舶航行性能的方法。文章侧重从大型船舶推进系统的状态不确定性分析与评估、水环境—船体—推进系统动力学耦合作用、以及船舶的实验室试验性能与实海环境的航行性能不一致性等三个方面,综合分析了国内外在该领域研究进展,指出尚待解决的问题和今后的研究方向。 相似文献
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本期驾车旅行所推荐的两条线路的起点一条在昆明,另一条在大理,其理由如下:首先北方天寒地冻,自驾出行不易;想必走近了没意思,走远了,私家车恐怕难以承受,故索性来个异地租车。 相似文献
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