Skip to main content
Erschienen in:

01.11.2017 | Editorial

Special Issue on Machine Fault Diagnostics and Prognostics

verfasst von: Zhigang Tian, Wilson Wang

Erschienen in: Chinese Journal of Mechanical Engineering | Ausgabe 6/2017

Einloggen, um Zugang zu erhalten

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Excerpt

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 performance degradation, malfunction, or even severe component/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 fault diagnostics and prognostics tools have wide potential applications in various industries particularly manufacturing, aerospace, transportation, oil and gas energy. The aim of this special issue on “Machine Fault Diagnostics and Prognostics” is to present new methods and tools for equipment condition monitoring, fault diagnostics, and equipment prognostics aiming at predicting fault propagation and remaining useful life. …
Metadaten
Titel
Special Issue on Machine Fault Diagnostics and Prognostics
verfasst von
Zhigang Tian
Wilson Wang
Publikationsdatum
01.11.2017
Verlag
Chinese Mechanical Engineering Society
Erschienen in
Chinese Journal of Mechanical Engineering / Ausgabe 6/2017
Print ISSN: 1000-9345
Elektronische ISSN: 2192-8258
DOI
https://doi.org/10.1007/s10033-017-0197-y

    Marktübersichten

    Die im Laufe eines Jahres in der „adhäsion“ veröffentlichten Marktübersichten helfen Anwendern verschiedenster Branchen, sich einen gezielten Überblick über Lieferantenangebote zu verschaffen.