Results 241 to 250 of about 10,689,274 (278)
Some of the next articles are maybe not open access.
Extended Kalman Filtering for Remaining-Useful-Life Estimation of Bearings
IEEE Transactions on Industrial Electronics, 2015Condition-based maintenance, which includes both diagnosis and prognosis of faults, is a topic of growing interest for improving the reliability of electrical drives. Bearings constitute a large portion of failures in rotational machines. Although many techniques have been successfully applied for bearing fault diagnosis, prognosis of faults ...
Rodney K. Singleton +2 more
openaire +1 more source
Multipath Temporal Convolutional Network for Remaining Useful Life Estimation
2020 IEEE International Conference on Big Data (Big Data), 2020The remaining useful life (RUL) estimation of a component is a core aspect in the implementation of a predictive maintenance policy for mechanical systems. Several novel deep learning approaches have already been developed to forecast the failure of a particular system or element.
Ivan Melendez-Vazquez +2 more
openaire +1 more source
Remaining useful life estimation for proton exchange membrane fuel cells using a hybrid method
Applied Energy, 2019 International audienceThis paper proposes a complete hybrid prognostics method which can predict the degradation trend and estimate the remaining useful life of proton exchange membrane fuel cells (PEMFCs) under different current loads.
Hongye Su, Daniel Hissel
exaly +1 more source
Entropy Indices for Estimation of the Remaining Useful Life
2017Accurate estimation of the remaining useful life (RUL) of a machine can have significant operational and financial benefits for the companies. The biggest challenge in the remaining useful life (RUL) estimation are features that exhibit monotonic behaviour correlated with the level of deterioration of the machine’s condition.
Pavle Boškoski +3 more
openaire +1 more source
Prognosis of degradation through a dynamic estimation of Remaining Useful Life
2016 5th International Conference on Systems and Control (ICSC), 2016All industrial systems and machines are subjected to degradation processes which can be related to the operating conditions. This degradation can cause unwanted stops at any time and major maintenance work sometimes. Prognostic activity is now recognized as a key feature in maintenance strategies, it gives operators a potent tool in decision making by ...
Nabil Laayouj +2 more
openaire +2 more sources
Deep Recurrent Architecture with Attention for Remaining Useful Life Estimation
TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON), 2019In many industries, there is a growing awareness to ensure the reliability and availability of manufacturing systems. Monitoring the health of machines enables the users to schedule repair and maintenance of the system ensuring less downtime, thereby enhancing its lifetime.
Ankit Das +4 more
openaire +1 more source
Estimating IOHMM Parameters to Compute Remaining Useful Life of System
Proceedings of the 29th European Safety and Reliability Conference (ESREL), 2019This paper is about Input-Output Hidden Markov Model (IOHMM) to compute the remaining useful life (RUL) of a system with different operating conditions. Well-known algorithms dedicated to Hidden Markov Model (HMM) are extended to IOHMM. The processing to compute the RUL considering further operating conditions are proposed through an application ...
Shahin, Kamrul Islam +2 more
openaire +2 more sources
RULENet: End-to-end Learning with the Dual-estimator for Remaining Useful Life Estimation
2020 IEEE International Conference on Prognostics and Health Management (ICPHM), 2020Remaining Useful Life (RUL) estimation is a key element in Predictive maintenance. System agnostic approaches which just utilize sensor and operational time series have gained popularity due to its ease of implementation. Due to the nature of measurement or degradation mechanisms, its accurate estimation is not always feasible. Existing methods suppose
Masanao Natsumeda, Haifeng Chen
openaire +1 more source
RIMER based Remaining Useful Life Estimation of Aero-Engine
2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), 2019Remaining useful life (RUL) estimation of aero-engine is a significant part of the aircraft reliability improvement and operational cost reduction. In order to solve the waste of performance data, in this study, a belief rule-based inference methodology using the evidential reasoning (RIMER) based RUL estimation process is proposed.
Yaqian You +4 more
openaire +2 more sources
Chronologically Guided Deep Network for Remaining Useful Life Estimation
2020In this paper, we introduce a new chronological loss function for training models to predict remaining useful life (RUL) of industrial assets based on multivariate time-series observations. The chronological loss, an alternative to the more traditional mean-squared error (MSE) loss, incorporates a monotonicity constraint, an upper bound, and a lower ...
openaire +2 more sources