Time series method for machine performance prediction using condition monitoring data
Accurate machine performance prediction is crucial to an effective maintenance strategy for improved reliability and to reduce total maintenance cost. In this study, a time series neural network based approach is introduced to achieve more accurate and reliable performance prediction of machine usin...
Saved in:
Main Authors: | Sarwar, U., Muhammad, M.B., Abdul Karim, Z.A. |
---|---|
Format: | Conference or Workshop Item |
Published: |
Institute of Electrical and Electronics Engineers Inc.
2014
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84925939871&doi=10.1109%2fI4CT.2014.6914212&partnerID=40&md5=746192e3b5d5801e5dee008f452deb03 http://eprints.utp.edu.my/31131/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Modeling and sensitivity analysis of a multi-nets anns model for real-time performance-based condition monitoring of an industrial gas turbine engine
by: Tahan, M., et al.
Published: (2016) -
Modeling and sensitivity analysis of a multi-nets anns model for real-time performance-based condition monitoring of an industrial gas turbine engine
by: Tahan, M., et al.
Published: (2016) -
Time series prediction using extreme learning machine
by: Lee Su Yin
Published: (2023) -
Predictive fuzzy reasoning method for time series stock market data mining
by: Khokhar, Rashid Hafeez, et al.
Published: (2005) -
Finite mixture model: Prediction of time series data using Bayesian method
by: Phoong, S. Y., et al.
Published: (2022)