|
|
|
|
|
Xiaojian Yi, Zhezhe Wang, Shulin Liu, Xinrong Hou and Qing Tang
Durability evaluation plays an important role in product operation and maintenance during the design stage. In order to ensure a long life, high reliability, and short development cycle, an accelerated degradation durability evaluation model for the turb...
ver más
|
|
|
|
|
|
|
|
|
Lasithan Lasyam Gopikuttan, Shouri Puthan Veettil, Rajesh Vazhayil Govindan
Pág. 181 - 194
As per ISO-10816, electric motors up to 15 kW are classified as Class I machines, and the major reason for their failure is that the vibrations in them are above the alert limit. This study presents a new model for predicting the condition-based maintena...
ver más
|
|
|
|
|
|
|
|
|
Wenliao Du, Xukun Hou and Hongchao Wang
It is difficult to accurately extract the health index of non-stationary signals of rolling bearings under variable rotational speed, which also leads to greater prediction error for bearing degradation models with fixed parameters. For this reason, an a...
ver más
|
|
|
|
|
|
|
|
|
Anastasija Collen, Ioan-Cosmin Szanto, Meriem Benyahya, Bela Genge and Niels Alexander Nijdam
Modern technology and the digitisation era accelerated the pace of data generation and collection for various purposes. The orchestration of such data is a daily challenge faced by even experienced professional users in the context of Internet of Things ...
ver más
|
|
|
|
|
|
|
|
|
Judong Myung and Boyoung Kim
Digital transformation of the healthcare industry is being accelerated due to the evolution of digital intelligence information technology such as artificial intelligence (AI), Internet of Things (IoT), and big data. As online-to-offline (O2O)-based cons...
ver más
|
|
|
|