Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Zijun Que"'
Autor:
Zijun Que, Zhengguo Xu
Publikováno v:
IEEE Access, Vol 7, Pp 93131-93138 (2019)
A steam turbine is one of the critical components in a power generation system whose failure may result in unexpected consequences, even catastrophic losses. Thus, the reliability of steam turbines needs to be guaranteed all the time, which requires
Externí odkaz:
https://doaj.org/article/2e93ccb25bcb49ef908ae3dafbf822cf
Publikováno v:
Sensors, Vol 20, Iss 11, p 3271 (2020)
The coal pulverizing system is an important auxiliary system in thermal power generation systems. The working condition of a coal pulverizing system may directly affect the safety and economy of power generation. Prognostics and health management is
Externí odkaz:
https://doaj.org/article/3410d558f15144efa18281f0e410eff0
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 70:1-11
Bearing is a key component in rotary machines. Their failures may cause the abrupt shutdown of these machines, which would result in substantial economic losses. Therefore, the prediction of the remaining useful life (RUL) of bearings is regarded as
Publikováno v:
QRS Companion
Recently deep learning based remaining useful life (RUL) prediction approaches have gained increasing attention due to their scalability and generalization ability. Although deep learning based approaches can obtain promising point prediction perform
Publikováno v:
Sensors, Vol 20, Iss 3271, p 3271 (2020)
Sensors
Volume 20
Issue 11
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 11
Sensors (Basel, Switzerland)
The coal pulverizing system is an important auxiliary system in thermal power generation systems. The working condition of a coal pulverizing system may directly affect the safety and economy of power generation. Prognostics and health management is
Publikováno v:
2019 Prognostics and System Health Management Conference (PHM-Qingdao).
Bearing failure can cause their host system shutdown, and even some catastrophic accidents. These will lead to a high maintenance cost and a huge economic loss. Thus, health monitoring and fault prognosis for bearings becomes increasingly important.
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 65:2046-2054
In this paper, a new bearing anomaly detection and fault prognosis method is proposed. The method detects bearing anomalies and then predicts its remaining useful life (RUL). To achieve these two goals, an autoregressive model, which is used to filte
Publikováno v:
IAS
Bearing is a critical component widely used in rotary machines. Bearing failure can cause damages of other components and lead to a lengthy downtime of the machine and costly maintenance. To reduce the cost and downtime for maintenance of the machine
Publikováno v:
IEEE Transactions on Instrumentation & Measurement; 2021, Vol. 70, p1-11, 11p
Publikováno v:
IEEE Transactions on Industry Applications; Jul-Aug2019, Vol. 55 Issue 4, p3394-3401, 8p