Special Issue on Machine Fault Diagnostics and Prognostics  

作　　者：Zhigang Tian Wilson Wang 

机构地区：[1]University of Alberta, Edmonton, Canada [2]Lakehead University, Thunder Bay, Canada

出　　处：《Chinese Journal of Mechanical Engineering》2017年第6期1283-1284,共2页中国机械工程学报（英文版）

摘　　要：Machine components and systems, such as gears, bearings, pipes, cutting tools and turbines, may experience various types of faults, such as breakage, crack, pitting, wear, corrosion. If not being properly monitored and treated, such faults can propagate and lead to machinery perfor- mance degradation, malfunction, or even severe compo- nent/system failure. It is significant to reliably detect machinery defects, evaluate their severity, predict the fault propagation trends, and schedule optimized maintenance and inspection activities to prevent unexpected failures. Advances in these areas will support ensuring equipment and production reliability, safety, quality and productivity.Machine components and systems, such as gears, bearings, pipes, cutting tools and turbines, may experience various types of faults, such as breakage, crack, pitting, wear, corrosion. If not being properly monitored and treated, such faults can propagate and lead to machinery perfor- mance degradation, malfunction, or even severe compo- nent/system failure. It is significant to reliably detect machinery defects, evaluate their severity, predict the fault propagation trends, and schedule optimized maintenance and inspection activities to prevent unexpected failures. Advances in these areas will support ensuring equipment and production reliability, safety, quality and productivity.

关 键 词：Special Issue Machine Fault Diagnostics PROGNOSTICS 

分 类 号：TH17[机械工程—机械制造及自动化]