1-11 of 11
Service life (Equipment)
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Journal Articles

Feature Extraction Based on Self-Supervised Learning for Remaining Useful Life Prediction

Zhenjun Yu, Ningbo Lei, Yu Mo, Xin Xu, Xiu Li, Biqing Huang
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. February 2024, 24(2): 021004.
Paper No: JCISE-23-1065
https://doi.org/10.1115/1.4062599
Published Online: July 18, 2023
View Article titled, Feature Extraction Based on Self-Supervised Learning for Remaining Useful Life Prediction
Open the PDF for Feature Extraction Based on Self-Supervised Learning for Remaining Useful Life Prediction in another window
Topics: Algorithms, Feature extraction, Sensors, Service life (Equipment), Trains
Journal Articles

Unsupervised Domain Deep Transfer Learning Approach for Rolling Bearing Remaining Useful Life Estimation

Maan Singh Rathore, S. P. Harsha
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. February 2024, 24(2): 021002.
Paper No: JCISE-22-1239
https://doi.org/10.1115/1.4062731
Published Online: July 13, 2023
View Article titled, Unsupervised Domain Deep Transfer Learning Approach for Rolling Bearing Remaining Useful Life Estimation
Open the PDF for Unsupervised Domain Deep Transfer Learning Approach for Rolling Bearing Remaining Useful Life Estimation in another window
Topics: Bearings, Service life (Equipment), Errors, Rolling bearings
Journal Articles

Hybrid Multi-Scale Convolutional Long Short-Term Memory Network for Remaining Useful Life Prediction and Offset Analysis

Vedant Sharma, Deepak Sharma, Ashish Anand
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. August 2023, 23(4): 041006.
Paper No: JCISE-22-1193
https://doi.org/10.1115/1.4056433
Published Online: January 9, 2023
View Article titled, Hybrid Multi-Scale Convolutional Long Short-Term Memory Network for Remaining Useful Life Prediction and Offset Analysis
Open the PDF for Hybrid Multi-Scale Convolutional Long Short-Term Memory Network for Remaining Useful Life Prediction and Offset Analysis in another window
Topics: Artificial neural networks, Engines, Sensors, Service life (Equipment), Support vector machines
Journal Articles

Prediction of Remaining Useful Life Using Fused Deep Learning Models: A Case Study of Turbofan Engines

Yu Zheng, Xiangyu Bao, Fei Zhao, Chong Chen, Ying Liu, Bo Sun, Haotong Wang
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Technical Briefs
J. Comput. Inf. Sci. Eng. October 2022, 22(5): 054501.
Paper No: JCISE-21-1296
https://doi.org/10.1115/1.4054090
Published Online: March 31, 2022
View Article titled, Prediction of Remaining Useful Life Using Fused Deep Learning Models: A Case Study of Turbofan Engines
Open the PDF for Prediction of Remaining Useful Life Using Fused Deep Learning Models: A Case Study of Turbofan Engines in another window
Topics: Engines, Service life (Equipment), Turbofans, Feature extraction, Machine learning
Journal Articles

Bayesian Optimization LSTM/bi-LSTM Network With Self-Optimized Structure and Hyperparameters for Remaining Useful Life Estimation of Lathe Spindle Unit

Nikhil M. Thoppil, V. Vasu, C. S. P. Rao
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. April 2022, 22(2): 021012.
Paper No: JCISE-21-1161
https://doi.org/10.1115/1.4052838
Published Online: December 9, 2021
View Article titled, Bayesian Optimization LSTM/bi-LSTM Network With Self-Optimized Structure and Hyperparameters for Remaining Useful Life Estimation of Lathe Spindle Unit
Open the PDF for Bayesian Optimization LSTM/bi-LSTM Network With Self-Optimized Structure and Hyperparameters for Remaining Useful Life Estimation of Lathe Spindle Unit in another window
Topics: Algorithms, Optimization, Service life (Equipment), Vibration, Failure, Architecture, Signals, Feature selection, Maintenance
Journal Articles

Digital Twin-Driven Remaining Useful Life Prediction for Gear Performance Degradation: A Review

Bin He, Long Liu, Dong Zhang
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Review Articles
J. Comput. Inf. Sci. Eng. June 2021, 21(3): 030801.
Paper No: JCISE-20-1237
https://doi.org/10.1115/1.4049537
Published Online: February 23, 2021
View Article titled, Digital Twin-Driven Remaining Useful Life Prediction for Gear Performance Degradation: A Review
Open the PDF for Digital Twin-Driven Remaining Useful Life Prediction for Gear Performance Degradation: A Review in another window
Topics: Gears, Service life (Equipment)
Journal Articles

Real-Time Prediction of Remaining Useful Life and Preventive Maintenance Strategy Based on Digital Twin

Jinyan Guo, Zhaojun Yang, Chuanhai Chen, Wei Luo, Wei Hu
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. June 2021, 21(3): 031003.
Paper No: JCISE-20-1176
https://doi.org/10.1115/1.4049153
Published Online: February 11, 2021
View Article titled, Real-Time Prediction of Remaining Useful Life and Preventive Maintenance Strategy Based on Digital Twin
Open the PDF for Real-Time Prediction of Remaining Useful Life and Preventive Maintenance Strategy Based on Digital Twin in another window
Topics: Machine tools, Maintenance, Service life (Equipment), Manufacturing, Workshops (Work spaces), Errors
Journal Articles

Remaining Useful Life Prediction of Bearings Using Ensemble Learning: The Impact of Diversity in Base Learners and Features

Junchuan Shi, Tianyu Yu, Kai Goebel, Dazhong Wu
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. April 2021, 21(2): 021004.
Paper No: JCISE-20-1129
https://doi.org/10.1115/1.4048215
Published Online: October 13, 2020
View Article titled, Remaining Useful Life Prediction of Bearings Using Ensemble Learning: The Impact of Diversity in Base Learners and Features
Open the PDF for Remaining Useful Life Prediction of Bearings Using Ensemble Learning: The Impact of Diversity in Base Learners and Features in another window
Topics: Algorithms, Bearings, Errors, Service life (Equipment), Feature selection, Vibration, Signals, Failure
Journal Articles

Fault Adaptive Mission Planning: Increasing Useful-Life and Reducing Downtime Through Condition-Based Decision-Making

Charlie DeStefano, David Jensen
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. December 2020, 20(6): 061013.
Paper No: JCISE-19-1059
https://doi.org/10.1115/1.4047354
Published Online: June 22, 2020
View Article titled, Fault Adaptive Mission Planning: Increasing Useful-Life and Reducing Downtime Through Condition-Based Decision-Making
Open the PDF for Fault Adaptive Mission Planning: Increasing Useful-Life and Reducing Downtime Through Condition-Based Decision-Making in another window
Topics: Complex systems, Failure, Maintenance, Robots, Service life (Equipment), Downtime, Decision making, Simulation, Physics
Journal Articles

NBLSTM: Noisy and Hybrid Convolutional Neural Network and BLSTM-Based Deep Architecture for Remaining Useful Life Estimation

Ali Al-Dulaimi, Soheil Zabihi, Amir Asif, Arash Mohammed
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. April 2020, 20(2): 021012.
Paper No: JCISE-19-1182
https://doi.org/10.1115/1.4045491
Published Online: January 8, 2020
View Article titled, NBLSTM: Noisy and Hybrid Convolutional Neural Network and BLSTM-Based Deep Architecture for Remaining Useful Life Estimation
Open the PDF for NBLSTM: Noisy and Hybrid Convolutional Neural Network and BLSTM-Based Deep Architecture for Remaining Useful Life Estimation in another window
Topics: Artificial neural networks, Service life (Equipment), NASA, Robustness, Architecture, Noise (Sound)
Journal Articles

Dilated Convolution Neural Network for Remaining Useful Life Prediction

Xin Xu, Qianhui Wu, Xiu Li, Biqing Huang
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. April 2020, 20(2): 021004.
Paper No: JCISE-19-1169
https://doi.org/10.1115/1.4045293
Published Online: January 3, 2020
View Article titled, Dilated Convolution Neural Network for Remaining Useful Life Prediction
Open the PDF for Dilated Convolution Neural Network for Remaining Useful Life Prediction in another window
Topics: Artificial neural networks, Filters, Sensors, Service life (Equipment), Feature extraction