1-3 of 3
Keywords: predictive maintenance
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

Determination of Multi-Component Failure in Automotive System Using Deep Learning

Free
John O’Donnell, Hwan-Sik Yoon
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. February 2024, 24(2): 021005.
Paper No: JCISE-22-1160
https://doi.org/10.1115/1.4063003
Published Online: August 14, 2023
... predictive maintenance machine failure prognostics multi-component failure detection transfer learning machine learning for engineering applications National Science Foundation 10.13039/100000001 1650564 The introduction of high-bandwidth communication systems for vehicle-to-vehicle...
View Articletitled, Determination of Multi-Component Failure in Automotive System Using Deep Learning
Open the PDF for Determination of Multi-Component Failure in Automotive System Using Deep Learning in another window
Topics: Failure, Failure mechanisms, Exhaust gas recirculation, Electromagnetic radiation, Compressors
Journal Articles

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

Available to Purchase
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
...Nikhil M. Thoppil; V. Vasu; C. S. P. Rao An effective maintenance strategy to cut back maintenance costs and production loss with assured product quality has always been a major concern for industries. The Industry 4.0 era has built a wide acceptance for the predictive maintenance techniques...
View Articletitled, 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

An Integrative Machine Learning Method to Improve Fault Detection and Productivity Performance in a Cyber-Physical System

Available to Purchase
Ming-Chuan Chiu, Chien-De Tsai, Tung-Lung Li
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. April 2020, 20(2): 021009.
Paper No: JCISE-19-1235
https://doi.org/10.1115/1.4045663
Published Online: January 3, 2020
... short-term memory predictive maintenance productivity improvement artificial intelligence big data and analytics cyber-physical system design and operation engineering informatics Industry 4.0, the fourth industrial revolution, is the current trend of automation and data exchange...
View Articletitled, An Integrative Machine Learning Method to Improve Fault Detection and Productivity Performance in a Cyber-Physical System
Open the PDF for An Integrative Machine Learning Method to Improve Fault Detection and Productivity Performance in a Cyber-Physical System in another window
Topics: Flaw detection, Machine learning, Machinery, Maintenance, Printing, Sensors, Time series, Algorithms, Engineers, Manufacturing