Condition-based Maintenance Optimization Using Neural Network-based Health Condition Prediction

نویسندگان

  • Bairong Wu
  • Zhigang Tian
  • Mingyuan Chen
چکیده

Artificial neural network (ANN) based methods have been extensively investigated for equipment health condition prediction. However, effective condition based maintenance (CBM) optimization methods utilizing ANN prediction information are currently not available due to two key challenges: (1) ANN prediction models typically only give a single remaining life prediction value, and it is hard to quantify the uncertainty associated with the predicted value; (2) simulation methods are generally used for evaluating the cost of the CBM policies, while more accurate and efficient numerical methods are not available, which is critical for performing CBM optimization. In this paper, we propose a CBM optimization approach based on ANN remaining life prediction information, in which the above-mentioned key challenges are addressed. The CBM policy is defined by a failure probability threshold value. The remaining life prediction uncertainty is estimated based on ANN lifetime prediction errors on the test set during the ANN training and testing processes. A numerical method is developed to evaluate the cost of the proposed CBM policy more accurately and efficiently. Optimization can be performed to find the optimal failure probability threshold value corresponding to the lowest maintenance cost. The effectiveness of the proposed CBM approach is demonstrated using two simulated degradation data sets and a real-world condition monitoring data set collected from pump bearings. The proposed approach is also compared with benchmark maintenance policies, and is found to outperform the benchmark policies. The proposed CBM approach can also be adapted to utilize information obtained using other prognostics methods.  Corresponding author. 1515 Ste-Catherine Street West, EV-7.637, Montreal, Quebec, H3G 2W1, Canada. Phone: 1-514-848-2424 ext. 7918; Fax: 1-514-848-3171. Email: [email protected]. 2

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Intelligent Health Evaluation Method of Slewing Bearing Adopting Multiple Types of Signals from Monitoring System

Slewing bearing, which is widely applied in tank, excavator and wind turbine, is a critical component of rotational machine. Standard procedure for bearing life calculation and condition assessment was established in general rolling bearings, nevertheless, relatively less literatures, in regard to the health condition assessment of slewing bearing, were published in past. Real time health condi...

متن کامل

Bearing Condition Prediction Using Enhanced Online Learning Fuzzy Neural Networks

Machine health condition (MHC) prediction is useful for preventing unexpected failures and minimizing overall maintenance costs since it provides decision-making information for condition-based maintenance (CBM). This paper presents a novel bearing health condition prediction approach based on enhanced online sequential learning fuzzy neural networks (EOSL-FNNs). Based on extreme learning machi...

متن کامل

Traffic Signal Prediction Using Elman Neural Network and Particle Swarm Optimization

Prediction of traffic is very crucial for its management. Because of human involvement in the generation of this phenomenon, traffic signal is normally accompanied by noise and high levels of non-stationarity. Therefore, traffic signal prediction as one of the important subjects of study has attracted researchers’ interests. In this study, a combinatorial approach is proposed for traffic signal...

متن کامل

Prediction of The Pavement Condition For Urban Roadway A Tehran Case Study (RESEARCH NOTE)

This report is the result of a research project on a pavement management system that was preformed by the Transportation Division of Iran University of Science and Technology. Information used in the project was collected from 20 zones of the Tehran Municipality. Any maintenance and repair system for roads is normally compared of a number of general and coordinated activities in conjunction wit...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Quality and Reliability Eng. Int.

دوره 29  شماره 

صفحات  -

تاریخ انتشار 2013