Advanced Mathematical Methods for Industrial Intelligence
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".
Deadline for manuscript submissions: 31 January 2027 | Viewed by 80
Special Issue Editors
Interests: pattern recognition algorithm; transfer learning theory; intelligent fault diagnosis; vibration and noise control
Interests: evolutionary algorithms on large scale optimization; multimodal optimization; dynamic optimization; multi/many-objective optimization and their applications to real-world problems
Special Issue Information
Dear Colleagues,
The rapid evolution of industrial systems demands adaptive fault diagnosis methods that can handle dynamic data and emerging fault patterns. This Special Issue focuses on incremental learning-based approaches for fault diagnosis, aiming to bridge theoretical advancements with practical engineering applications. We invite researchers to contribute original studies that leverage incremental learning to enhance fault detection, classification, and prediction in complex systems.
Key Topics of Interest:
- Incremental Learning Algorithms:
Class-incremental learning for fault type expansion
Task-incremental learning for multi-stage fault diagnosis
Online learning with streaming sensor data
- Fault Diagnosis Applications:
Mechanical systems (e.g, wind turbines, bearings)
Electrical systems (e.g., power grids, motors)
Cyber-physical systems (e.g, industrial loT)
- Methodological Innovations:
Hybrid models (e.g., CNN-LSTM for vibration analysis)
Knowledge distillation and transfer learning
Self-supervised and unsupervised fault detection
- Challenges and Solutions:
Catastrophic forgetting in long-term diagnosis
Imbalanced and noisy fault datasets
Real-time diagnosis with low-latency requirements
Dr. Weiwei Qian
Dr. Qiang Yang
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- incremental learning
- fault diagnosis
- class-incremental learning
- task-incremental learning
- online learning
- fault detection and prediction
- hybrid models
- knowledge distill
- transfer learning
- self-supervised learning
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
