Special Track on Intelligent Diagnosis and Prognosis of Complex Equipment

Description

Critical components of complex equipment —such as bearings, gears, and energy storage systems—are fundamental in energy, transportation, and many emerging systems. Their health conditions directly determine the safety and operational performance of the corresponding equipment. However, current industrial environments present multiple challenges: frequent switching between complex working conditions, interference from multi-source heterogeneous signals, limitations due to non-ideal data, and insufficient generalization across devices and scenarios. These factors hinder the achievement of highly reliable and accurate health assessment and the remaining useful life (RUL) prediction. This special track addresses these challenges by focusing on multimodal data fusion, edge intelligence, and trustworthy AI technologies. The focus is on exploring novel methods for intelligent perception, fault diagnosis, and life prediction of complex equipment and energy storage systems. This track seeks to advance the development of intelligent operation and maintenance technologies and accelerate the implementation of industrial intelligence.

Topics

A list of particular relevant areas includes, but is not limited to:

• Trustworthy and explainable intelligent diagnosis and prognosis methods
• Health state assessment and RUL prediction under complex scenarios
• Acoustic-optical-vibration sensor fusion and edge computing techniques
• Diagnosis and prediction driven by hybrid data-model fusion approaches
• Cross-condition generalization and cross-device adaptive diagnosis/prognosis
• Novel techniques and applications for multimodal heterogeneous information mining and fusion
• Intelligent diagnosis in non-ideal scenarios such as few-shot, zero-shot, and noisy conditions

Submission

Authors are invited to submit original unpublished research papers as well as industrial practice papers. Simultaneous submissions to other conferences are not permitted. Detailed instructions for electronic paper submission, panel proposals, and review process can be found at QRS submission.

Each submission can have a maximum of ten pages. It should include a title, the name and affiliation of each author, a 300-word abstract, and up to 6 keywords. Shorter version papers (up to six pages) are also allowed.

All papers must conform to the QRS conference proceedings format (PDF | Word DOCX | Latex) and Submission Guideline set in advance by QRS 2025. At least one of the authors of each accepted paper is required to pay the full registration fee and present the paper at the workshop. Submissions must be in PDF format and uploaded to the conference submission site. Arrangements are being made to publish extended version of top-quality papers in selected SCI journals.

Track Chairs

Heng Zhang

Sichuan University, China

Kai Zheng

Chongqing University of Posts and Telecommunications, China

Jianguo Miao

Chongqing University of Posts and Telecommunications, China