The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Degradation Based Condition Classification and Prediction in Rotating Machinery Prognostics
Abstract
A transition stage exists during the equipment degradation, which is between the normal condition and the failure condition. The transition stage presents small changes and may not cause significant function loss. However, the transition stage contains the degradation information of the equipment, which is beneficial for the condition classification and prediction in prognostics. The degradation based condition classification and prediction of rotating machinery are studied in this chapter. The normal, abnormal, and failure conditions are defined through anomaly determination of the transition stage. The condition classification methods are analyzed with the degradation conditions. Then the probability of failure occurrence is discussed in the transition stage. Finally, considering the degradation processes in rotating machinery, the condition classification and prediction are carried out with the field data.
Related Content
|
David Zelinka, Bassel Daher.
© 2021.
30 pages.
|
|
David Zelinka, Bassel Daher.
© 2021.
29 pages.
|
|
Narendranath Shanbhag, Eric Pardede.
© 2021.
31 pages.
|
|
Marc Haddad, Rami Otayek.
© 2021.
20 pages.
|
|
Reem A. ElHarakany, Alfredo Moscardini, Nermine M. Khalifa, Marwa M. Abd Elghany, Mona M. Abd Elghany.
© 2021.
23 pages.
|
|
Sanjay Soni, Basant Kumar Chourasia.
© 2021.
35 pages.
|
|
Lina Carvajal-Prieto, Milton M. Herrera.
© 2021.
20 pages.
|
|
|