A Bayesian recursive framework for ball-bearing damage classification in rotating machinery

A modular active bearing for noise reduction of rotating machinery

Traditionally, active control of structural radiators has approached the problem through integrating sensors and actuators on or into the structure. In such an approach, the goal is to modify the systems response to disturbance, rather than influence the disturbance path to the radiating structure. Many practical issues exist, which ultimately limit the effectiveness of such an approach. A gene...

A Novel Intelligent Fault Diagnosis Approach for Critical Rotating Machinery in the Time-frequency Domain

The rotating machinery is a common class of machinery in the industry. The root cause of faults in the rotating machinery is often faulty rolling element bearings. This paper presents a novel technique using artificial neural network learning for automated diagnosis of localized faults in rolling element bearings. The inputs of this technique are a number of features (harmmean and median), whic...

a framework for identifying and prioritizing factors affecting customers’ online shopping behavior in iran

the purpose of this study is identifying effective factors which make customers shop online in iran and investigating the importance of discovered factors in online customers’ decision. in the identifying phase, to discover the factors affecting online shopping behavior of customers in iran, the derived reference model summarizing antecedents of online shopping proposed by change et al. was us...

APPEndix A mathematiCal framework for a reCursiVe bayesian estimation alGorithm

Classification of ball bearing faults using a hybrid intelligent model

© 2016. Hosting by Elsevier B.V. All rights reserved. Keyword: Condition monitoring Ball bearing Electrical motor Fuzzy min-max neural network Random forest