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Special Issue on Fault Diagnosis and Health Management Soft Computing Methodologies for Industrial 5.0 Systems
As the global industry accelerates towards the 5.0 era, new industrial systems are developing and evolving at an unprecedented speed. These systems are characterized by high automation, integration, and intelligence, and deeply integrate emerging technologies such as information technology, advanced manufacturing technology, and artificial intelligence. They not only have stronger production capacity and higher efficiency, but also bring disruptive changes to traditional industrial models. However, the high complexity of new industrial systems also brings new challenges, especially in ensuring stable operation and efficient maintenance of the system. Specifically, these systems often involve the collection, storage, processing, and analysis of massive heterogeneous data, with more complex and diverse failure modes. Traditional fault diagnosis and maintenance methods based on manual experience are no longer sufficient to meet the needs. At the same time, equipment failure may lead to serious consequences such as production interruption, quality decline, safety accidents, etc., which have a huge impact on the economic benefits and social impact of the enterprise. Therefore, developing advanced fault diagnosis and intelligent operation and maintenance technologies is crucial for improving the reliability, safety, and economy of new industrial systems.
The purpose of this solicitation is to gather the latest research results and innovative applications in the fields of artificial intelligence and machine learning at home and abroad, focusing on fault diagnosis and health management of industrial 5.0 systems. We sincerely invite experts, scholars, engineers, and researchers to actively submit their papers and work together to promote the development of this field.
Guest editors:
Assoc. Prof. Haibin Ouyang
Guangzhou University, China
Email: oyhb1987@163.com
Prof. Seyedali Mirjalili
Torrens University, Australia
Email: ali.mirjalili@torrens.edu.au
Prof. Jiewu Leng
Guangdong University of Technology, China
Email: jwleng@gdut.edu.cn
Special issue information:
Applied Soft Computing is an international journal promoting an integrated view of soft computing to solve real life problems. Soft computing is a collection of methodologies, which aim to exploit tolerance for imprecision, uncertainty and partial truth to achieve tractability, robustness and low solution cost. The focus is to publish the highest quality research in application, advance and convergence of the areas of Fuzzy Logic, Neural Networks, Evolutionary Computing, Swarm Intelligence and other similar techniques to address real world complexities. According to the requirements of the Applied Soft Computing journal, we welcome but are not limited to submissions on the following topics:
1. Fault feature extraction and classification method based on deep learning
2. Fault reasoning and diagnosis method based on knowledge graph
3. Application of Small Sample Learning and Federated Learning in Fault Diagnosis
4. Fault diagnosis method based on multi-source heterogeneous data fusion
5. Prognostics and Health Management (PHM) technology based on machine learning for predicting the remaining lifespan of devices
6. Remote Monitoring and Diagnostic System Based on Internet of Things (IoT)
7. Fault diagnosis and operation and maintenance technology for intelligent manufacturing equipment
8. Intelligent monitoring and fault prediction methods for power systems, rail transit system, chemical processes, energy equipment
9. Optimization Algorithm Design and Application for Industrial fault diagnosis
10. Standardization research on fault diagnosis and intelligent operation and maintenance
11. Fault diagnosis and prediction based on edge intelligence
12. Application of Cross disciplinary Knowledge Transfer in Fault Diagnosis
Manuscript submission information:
Important Dates:
Submission Open Date: Mar 25, 2026
Submission Deadline: Nov 25, 2026
Paper submissions for the special issue should follow the submission format and guidelines for regular papers and be submitted at Submit your manuscript | Applied Soft Computing Journal.
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