This topic aims at addressing and reporting the recent advances and new breakthrough in advanced signal processing and its applications for electromechanical system such as mechanical equipment and hydraulic equipment. Authors are encouraged to submit research papers or practical applications. Areas to be covered in this Research Topic may include, but are not limited to:

• Related topics:
  • Theoretical modeling on signal acquisition, signal transform;
  • Advanced signal processing in time-domain, frequency-domain and time-frequency domain;
  • Blind signal processing technology and application;
  • Sparse signal processing and application;
  • Array signal processing and application;
  • Deep learning, generative artificial intelligence in signal processing and application;
  • Harmonic analysis and application;
  • Sensors fusion and signal analysis;
  • Power signal monitoring, analysis and application;
  • Signal adaptive filtering theory and its application;
  • Fault diagnosis with vibration, acoustical and ultrasonic signals, etc.;
  • Health monitoring and prognostics with vibration, acoustical and ultrasonic signals, etc.

CHAIRMANS:

Qing Li, Anhui Agricultural University, China (李庆，安徽农业大学，副教授)

Dr. Qing Li received the Ph.D degree from College of Mechanical Engineering, Donghua University in 2019. He is currently an Associate Professor in Department of Mechanical Engineering at Anhui Agricultural University, Hefei, China. He is now a visiting scholar with 1 year at Institute for Automatic Control and Complex Systems (AKS) at University of Duisburg-Essen, Duisburg, Germany. He was a Post-doctoral Research Fellow in the Department of Mechanical Engineering at University of Alberta, Edmonton, Canada, from 2019.06 to 2020.06. He was a visiting researcher at Georgia Institute of Technology, Atlanta, USA, from 2016.12 to 2018.07. He is now an Associate Professor for IEEE Sensors Journal (SCI) and Editorial Board Member for Measurement Science Review (SCI), and Editorial Board Member other international prestigious journals, and lead guest editor of special issue for 3 SCI journals. His technical interests focus on fault diagnosis and prognostics for industrial system, advanced signal processing, and more than 90 research articles and patents have been authored in these areas.

Xiang Chen, Hohai University, China; (陈翔, 河海大学，助理教授)

Dr. Xiang Chen, a Lecturer at Hohai University, specializes in mathematical modeling, condition assessment, and fault diagnosis of photovoltaic power plants. He currently leads the ongoing project "Research and Application of Key Technologies for Intelligent Inspection and Fault Diagnosis in Photovoltaic Power Plants" (funded by the Fundamental Research Funds for the Central Universities). During his doctoral studies, he contributed to a General Program of the National Natural Science Foundation of China. His research achievements include over 10 SCI-indexed publications in renowned journals such as Energy, IEEE Transactions on Power Electronics, Energy Conversion and Management, and Applied Energy, along with one authorized invention patent.

The manuscript should be submitted via the submission link (http://confsys.iconf.org/submission/icsip2025), or to icsip2016@vip.163.com before the submission deadline (April 05, 2025).