Vibration and System Fault Analysis

Deadline for Manuscript Submissions: 31 December 2026

Special Issue Editors

Tiejun Cui Website E-Mail: ctj.159@163.com (Guest Editor)
Shenyang Ligong University
Orcid: https://orcid.org/0000-0003-2405-1286

Rui A.S. MoreiraWebsite E-Mail: rmoreira@ua.pt
University of Aveiro
Orcid: https://orcid.org/0000-0001-5328-1705
Interests: Structural dynamics, Control, vibrations

Ge Liang Website E-Mail: cgroad@163.com
Southwest Petroleum University
Interests: Oil and gas intelligent measurement and control technology; oil and gas information detection and monitoring; oil and gas intelligent measurement and control

Tichun Wang Website E-Mail: wangtichun2010@nuaa.edu.cn
Nanjing University of Aeronautics and Astronautics, China
Interests: Fault Diagnosis;Intelligent Design;Knowledge Engineering

Jinxin Wang Website E-Mail: wangjinxin@cumt.edu.cn
China University of Mining and Technology, China
Interests: Deep learning and complex equipment fault diagnosis, generative learning

Special Issue Information

Dear Colleagues,

Vibration signals are the core carrier of system fault information, and accurate fault identification based on vibration analysis is critical to ensuring the reliability and safety of industrial equipment. With the rapid development of intelligent sensing, big data and artificial intelligence technologies, traditional vibration analysis methods face challenges in adapting to complex working conditions, weak fault detection and real-time diagnosis requirements. Consequently, this special issue focuses on the latest progress in vibration and system fault analysis, highlighting innovative theories, advanced technical methods and typical engineering applications. To strengthen the integration of academic research and industrial practice, practical cases and validation results are highly encouraged. Therefore, we establish this special issue to provide a high-quality platform for scholars and engineers to exchange cutting-edge insights and technical achievements.

The primary topics are as follows (not limited to those listed):

Intelligent sensing and adaptive processing of vibration signals
Deep learning and reinforcement learning for vibration-based fault diagnosis
Extraction of weak fault features under strong noise interference
Multi-modal data fusion (vibration, acoustic, oil analysis) for system fault assessment
Vibration analysis methods adapted to variable speed and complex load conditions
Digital twin-driven vibration monitoring and predictive maintenance

Tiejun Cui, Rui António da Silva Moreira, Ge Liang, Tichun Wang, Jinxin Wang

Keywords: vibration analysis; system fault diagnosis; intelligent sensing; data-driven methods; predictive maintenance

Open Access

Article

Article ID: 4222

System vibration characteristics and fault evolution evaluation based on multimodal data fusion
by Shasha Li, Wenjing Kong, Tiejun Cui

Sound & Vibration, Vol.60, No.4, 2026;

To address the problems of one-sided modal information, unclear fault evolution, and insufficient support for early fault diagnosis warning of complex systems, a method for evaluating system vibration characteristics and fault evolution based on multimodal data fusion is proposed. With multimodal data fusion, factor space mapping, fault evolution network modeling, and probabilistic evaluation as the core, the unified characterization of heterogeneous data to fault-influencing factors is realized through feature extraction and hierarchical mapping of multi-source data, including vibration, acoustic emission, and oil analysis. Based on the Space Fault Network (SFN), the topological relationship and probability transfer model of fault events are constructed. Combined with evolutionary entropy analysis, an evaluation system of failure probability-evolutionary entropy and a hierarchical early warning mechanism are formed. Taking the axle box bearing as an example, with thresholds determined by full-life cycle fault data fitting and engineering experience, the system fault is identified as the attention state at 80 hours and the high-risk state at 100 hours, which is consistent with the law of gradual fault evolution and engineering practicability. The proposed method forms a failure probability–evolutionary entropy dual-index evaluation system and a hierarchical early warning mechanism with strong physical interpretability, providing reliable technical support for reliability evaluation and predictive maintenance of complex mechanical systems.

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(This article belongs to the Special Issue Vibration and System Fault Analysis)
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Editor-in-Chief

Prof. Jun Yang

Institute of Acoustics, Chinese Academy of Sciences, China

ISSN

1541-0161 (Print)

2693-1443 (Online)

Publication Frequency

Bi-monthly

Indexing

Web of Science Coverage

Emerging Sources Citation Index (IF 4.2, Q1)

Elsevier Solutions

Scopus (2025 CiteScore 2.0);

Portico, etc.

About the Publisher

Academic Publishing insists on taking academic exchange and publication as the main line, carrying out comprehensive management based on science and technology, and fully exploring excellent international publishing resources. Within 5 years, it will form a strategic framework and scale with science (S), technology (T), medicine (M), education (E), and humanities and arts (H) as the main publishing fields. Academic Publishing is headquartered in Singapore and based in Malaysia, with the United States and China providing the main scientific and academic resources. At the same time, it has established long-term good cooperative relations with other publishing companies, scientific research communities, and academic organizations in more than a dozen countries and regions. Academic Publishing uses English and Chinese as its main publishing languages, mainly publishing books, journals, and conference papers in print and online. The vast majority of publications follow the international open access policy, providing stable and long-term quality and professional publications. With the joint efforts of the expert team and our professional editorial team, our publications will gradually be indexed by international databases in stages to provide convenient and professional retrieval for various scholars. At the same time, manuscripts we accept will be subject to the peer review principle, and cutting-edge and innovative research articles will be preferentially accepted for peer reference and discussion. All kinds of our publications are welcome for peer to contribute, access, and download.

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