Industrial machinery may suffer inevitable health degradation, which affects its performance and structural integrity. Timely diagnosis health symptoms are essential to support predictive decision-making and to guarantee industrial safety. Variable environments and conditions are often encountered in industrial machinery. Advanced signal processing algorithms and techniques are expected to provide anywhere and anytime monitoring services to different machineries. The development of signal processing algorithms and techniques is a promising solution to achieve this goal. Developing methods to effectively and efficiently process the machine health monitoring data to achieve accurate and reliable diagnosis has drawn much interest in the past decade.
This special issue focuses on the signal processing algorithms and techniques to realize precise, accurate, and timely diagnosis machine health monitoring. All submissions should neither have been published previously nor be currently under consideration for publication elsewhere. The submitted papers will undergo a strict peer review process based on originality, quality, and relevance to this special issue and the journal.
Potential topics of interest include but are not limited to the following:
- Advanced measurement and intelligent processing for machine monitoring
- Fault-related signatures extraction for machine health monitoring
- Artificial intelligence algorithms and technology in intelligent fault detection
- Non-contact measurement and monitoring for machines
- Internet of things (IoT) and self-powered smart sensors for machinery monitoring
- Network architecture design for machine health monitoring system
- Models and simulations for machine monitoring
- Cloud computing and edge computing for machine health monitoring
- Resource management for remote monitoring systems
- MEMS technology and artificial intelligence machine diagnosis methods
- Remaining Useful Life (RUL) Prediction of Rotating Machinery
Important Dates
Submission Deadline: 28 February 2023
First Notification: 1 March 2023
Submission Deadline for Revised Manuscripts: 1 April 2023
Notification of re-review: 30 May 2023
Final Notification: 31 June 2023
Publication Date: August 2023
Guest Editors
Prof. Chunguo Li, Southeast University, China
Prof. Min Xia, Lancaster University, UK
Prof. Wei Fan, Jiangsu University, China
Prof. Jiawen Xu, Southeast University, China
Prof. Changqin Shen, Soochow University, China
Dr. Pei Cao, Cargometrics Technologies Inc., USA
Submission Instructions
Before submitting your manuscript, please ensure you have carefully read the Instructions for Authors for EURASIP Journal on Advances in Signal Processing. The complete manuscript should be submitted through the EURASIP Journal on Advances in Signal Processing submission system. To ensure that you submit to the correct special issue please select the appropriate section in the drop-down menu upon submission. In addition, indicate within your cover letter that you wish your manuscript to be considered as part of the special issue on 'Advanced Signal Processing Algorithms and Techniques for Machinery Diagnosis'. All submissions will undergo rigorous peer review and accepted articles will be published within the journal as a collection.Sign up for article alerts to keep updated on articles published in EURASIP Journal on Advances in Signal Processing - including articles published in this special issue!