شماره ركورد كنفرانس :
3254
عنوان مقاله :
Prognosis Confidence Level Determination of Rolling Element Bearings, Using ISO 13381-1 Offered Method
Author/Authors :
Mehdi Behzad School of Mechanical Engineering - Sharif University of Technology, Tehran , Motahareh Mirfarah School of Mechanical Engineering - Sharif University of Technology, Tehran , Hesam Addin Arghand School of Mechanical Engineering - Sharif University of Technology, Tehran
كليدواژه :
Confidence Level , Neural Network , Prognostics , Rolling element Bearing , Vibration condition monitoring
عنوان كنفرانس :
پنجمين كنفرلنس بين المللي قابليت اطمينان و ايمني
چكيده لاتين :
Neural network (NN) is used for prognostic purpose in many applications. Although this method is very powerful for making a prognostic model in complex systems, finding the uncertainty for its prediction result is an important challenge. ISO 13381-1 emphasizes on the confidence level (CL) determination for any remaining useful life (RUL) prediction. It provides a procedure for calculating CL. In this paper, a procedure based on that offer is proposed for calculating CL of RUL prediction for rolling element bearings (REBs) with NN method. Two sources of error have been considered and a model has been proposed to study them. Experimental bearing accelerated life test data of PRONOSTIA dataset have been employed to study the performance of proposed method. It is shown that the determined CL for prediction results shows reasonable behavior.
