Fault Diagnosis Technology in Machinery Manufacturing
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Manufacturing Processes and Systems".
Deadline for manuscript submissions: 30 November 2025 | Viewed by 255
Special Issue Editors
Interests: vvibration analysis; machine diagnostic; artificial intelligence; modal analysis; digital signal processing; noise vibration hardness
Special Issues, Collections and Topics in MDPI journals
Interests: machine diagnosis; machine diagnostics; noise emissions; artificial intelligence
Special Issue Information
Dear Colleagues,
Fault diagnosis in machinery manufacturing is a critical aspect that ensures the reliability, safety, and efficiency of industrial operations. In the age of Industry 4.0, production equipment is becoming more integrated and intelligent, introducing new challenges for data-driven process monitoring and fault diagnosis. This journal explores the current technologies and methodologies used in diagnosing faults in machinery. It highlights the integration of traditional techniques, such as vibration analysis and thermal imaging, with modern advancements like machine learning, artificial intelligence (AI), and the Internet of Things (IoT). These innovations enable real-time monitoring, predictive maintenance, and data-driven decision-making. This journal also integrates the challenges in implementing fault diagnosis systems, including data management, integration with existing systems, and the need for skilled personnel.
Through recent R&D advancements, insights have been provided into the future trends in fault diagnosis technologies, emphasizing the potential for increased automation and accuracy, as well as the development of smarter manufacturing processes.
Prof. Dr. Grover Zurita Villarroel
Prof. Dr. René-Vinicio Sánchez
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 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. Processes is an international peer-reviewed open access monthly 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 2400 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
- fault detection and diagnosis technology for machine manufacturing
- vibration analysis for machine manufacturing
- advances diagnostics techniques for machine manufacturing
- neural networks methods for machine manufacturing
- fault diagnosis methods for smart manufacturing
- IoT-based monitoring and diagnostics of manufacturing systems
- remote control and detection and detection technology for intelligent manufacturing
- machine learning methods for machine manufacturing
- applied artificial intelligence for fault detection and diagnosis technology for machine manufacturing
- operational mode analysis for fault diagnostics and diagnostic for machine manufacturing
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.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue policies can be found here.
