Predictive Maintenance for Pump Systems and Thermal Power Plants: State-of-the-Art Review, Trends and Challenges
Thermal power plants are an important asset in the current energy infrastructure, delivering ancillary services, power, and heat to their respective consumers. Faults on critical components, such as large pumping systems, can lead to material damage and opportunity losses. Pumps plays an essential r...
Main Authors: | Jonas Fausing Olesen, Hamid Reza Shaker |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-04-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/8/2425 |
Similar Items
-
Optimal Maintenance Decision Based on Remaining Useful Lifetime Prediction for the Equipment Subject to Imperfect Maintenance
by: Yunxiang Chen, et al.
Published: (2020-01-01) -
SOPHIA: An Event-Based IoT and Machine Learning Architecture for Predictive Maintenance in Industry 4.0
by: Matteo Calabrese, et al.
Published: (2020-04-01) -
Bayesian based Prognostic Model for Predictive Maintenance of Offshore Wind Farms
by: Masoud Asgarpour, et al.
Published: (2018-01-01) -
Using temporal convolution network for remaining useful lifetime prediction
by: Jungan Chen, et al.
Published: (2021-03-01) -
Remaining Useful Lifetime (RUL) - Probabilistic Predictive Model
by: Ephraim Suhir
Published: (2011-01-01)