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Vibration Engineering, Reliability Assessment and Fault Diagnosis in Mechanical Systems

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".

Deadline for manuscript submissions: 10 January 2026 | Viewed by 310

Special Issue Editor


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Guest Editor
1. School of Mechanical and Mechatronic Engineering, University of Technology Sydney, Sydney, NSW 2007, Australia
2. Department of Mechanical Engineering, Faculty of Engineering, Bu-Ali Sina University, Hamedan 65167-38695, Iran
Interests: vibration engineering; structural health monitoring; condition monitoring; inverse problems; sensors and signal processing
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Special Issue Information

Dear Colleagues,

We are pleased to invite you to contribute to our upcoming Special Issue on "Vibration Engineering, Reliability Assessment and Fault Diagnosis in Mechanical Systems".

The performance and longevity of mechanical systems are heavily influenced by their dynamic behaviour and vibration characteristics. Advances in vibration engineering, coupled with cutting-edge sensing, signal processing, and machine learning techniques, have significantly enhanced our ability to assess reliability and diagnose faults. These innovations are crucial for predictive maintenance, minimizing unexpected failures, and optimizing system performance in industries such as aerospace, automotive, energy, and manufacturing.

This Special Issue aims to highlight the latest research and technological advancements in vibration-based diagnostics, reliability modelling, and fault detection techniques. Topics of interest include, but are not limited to, the following:

  • Vibration-based condition monitoring and fault diagnosis;
  • Structural dynamics and modal analysis for mechanical systems;
  • Advanced signal processing techniques for vibration analysis;
  • Machine learning and AI applications in predictive maintenance;
  • Non-contact and remote sensing for structural health monitoring;
  • Sensor networks and IoT for real-time diagnostics;
  • Prognostics and health management (PHM) strategies;
  • Reliability modelling and lifecycle assessment of mechanical components;
  • Emerging technologies for noise and vibration control;
  • Case studies on aerospace, automotive, and industrial machinery applications;
  • Security and robustness in sensor-based fault detection systems.

We welcome high-quality original research articles and comprehensive reviews that contribute to the advancement of vibration engineering, reliability assessment, and fault diagnosis in mechanical systems. Your insights and expertise will play a crucial role in shaping the future of intelligent system monitoring and maintenance strategies.

We look forward to your contributions!

Dr. Hamed Kalhori
Guest Editor

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 100 words) can be sent to the Editorial Office for announcement on this website.

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. Sensors 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

  • vibration engineering
  • reliability assessment
  • fault diagnosis
  • condition monitoring
  • structural health monitoring

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Published Papers (1 paper)

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Research

21 pages, 1557 KB  
Article
Spectral-Based Fault Detection Method in Marine Diesel Engine Operation
by Joško Radić, Matko Šarić and Ante Rubić
Sensors 2025, 25(18), 5669; https://doi.org/10.3390/s25185669 - 11 Sep 2025
Abstract
The possibility of developing autonomous vessels has recently become increasingly interesting. As most vessels are powered by diesel engines, the idea of developing a method to detect engine malfunctions by analyzing signals from microphones placed near the engine and accelerometers mounted on the [...] Read more.
The possibility of developing autonomous vessels has recently become increasingly interesting. As most vessels are powered by diesel engines, the idea of developing a method to detect engine malfunctions by analyzing signals from microphones placed near the engine and accelerometers mounted on the engine housing is intriguing. This paper presents a method for detecting engine malfunctions by analyzing signals obtained from the output of a microphone and accelerometer. The algorithm is based on signal analysis in the frequency domain using discrete Fourier transform (DFT), and the same procedure is applied to both acoustic and vibration data. The proposed method was tested on a six-cylinder marine diesel engine where a fault was emulated by deactivating one cylinder. In controlled experiments across five rotational speeds, the method achieved an accuracy of approximately 98.3% when trained on 75 operating cycles and evaluated over 15 cycles. The average precision and recall across all sensors exceeded 97% and 96%, respectively. The ability of the algorithm to treat microphone and accelerometer signals identically simplifies implementation, and the detection accuracy can be increased further by adding additional sensors. Full article
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