The Use of Simulation Models to Generate Data Corresponding to Faults in Machines
There are a number of benefits from simulating faults in machines, the first being to be able to produce sufficient representative signals to train automated fault recognition algorithms such as artificial neural networks, as it is not economically viable to experience the number of actual failures required.A second is to able to produce signals from faults of different sizes and locations in order to test and compare diagnostic algorithms and to develop diagnostic and prognostic procedures and features.Finally,simulations can be very helpful in gaining a physical understanding of the complex (often nonlinear) interactions which sometimes arise in machines.
fault simulation machine diagnostics machine prognostics vibration analysis signal processing
R.B.Randall
School of Mechanical and Manufacturing Engineering University of New South Wales Sydney 2052,Australia
国际会议
2009 8th International Conference on Reliability,Maintainability and Safety(第八届中国国际可靠性、维修性、安全性会议)
成都
英文
934-939
2009-08-24(万方平台首次上网日期,不代表论文的发表时间)