Eksploatacja i Niezawodnosc

Aims & Scope

The quarterly Eksploatacja i Niezawodność – Maintenance and Reliability publishes articles containing original results of experimental research on the durabilty and reliability of technical objects.

We also accept papers presenting theoretical analyses supported by physical interpretation of causes or ones that have been verified empirically.

Eksploatacja i Niezawodność – Maintenance and Reliability also publishes articles on innovative modeling approaches and research methods regarding the durability and reliability of objects.

Metrics & Ranking

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Directory of Open Access Journals (DOAJ)
• Web of Science

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Engineering, designed to support cutting-edge academic discovery.

Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

Policy Links

This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.

• Aims scope
• Homepage
• Oa statement
• Author instructions
• License terms
• Review url
• Board url
• Copyright url
• Plagiarism url
• Apc url
• License

Plagiarism Policy

This journal follows a plagiarism policy. All submitted manuscripts are screened using reliable plagiarism detection software to ensure originality and academic integrity. Authors are responsible for proper citation and acknowledgment of all sources, and any form of plagiarism, including self-plagiarism, will not be tolerated.

For more details, please refer to our official: Plagiarism Policy.

APC Details

The journal’s Article Processing Charge (APC) policies support open access publishing in Engineering, ensuring accessibility and quality in research dissemination.

This journal requires an Article Processing Charge (APC) to support open access publishing, covering peer review, editing, and distribution. The current APC is 410.00 EUR. Learn more.

Explore journals without APCs for alternative publishing options.

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Determination of the average maintenance time of CNC machine tools based on type II failure correlation

  Citation: 78

  Authors: Guixiang, Wenbin, Yingzhi, Chenyu, Peng

• Application of neural reconstruction of tomographic images in the problem of reliability of flood protection facilities

  Citation: 59

  Authors: T., G.

• Reliability analysis of reconfigurable manufacturing system structures using computer simulation methods

  Citation: 55

  Authors: Arkadiusz

• Assessment model of cutting tool condition for real-time supervision system

  Citation: 49

  Authors: Edward, Dariusz, Tomasz, Sławomir, Jarosław

• Maintenance of industrial reactors supported by deep learning driven ultrasound tomography

  Citation: 47

  Authors: Grzegorz, Tomasz, Konrad, Antoni, Tomasz

• Maintenance – identification and analysis of the competency gap

  Citation: 44

  Authors: Katarzyna

• Fast bearing fault diagnosis of rolling element using Lévy Moth-Flame optimization algorithm and Naive Bayes

  Citation: 44

  Authors: Shuang, Krzysztof, Ming, Han, Zhiwei, Orest

• Wear characteristics and defects analysis of friction stir welded joint of aluminium alloy 6061-T6

  Citation: 39

  Authors: Ratnesh, Somnath, Sergej, Grzegorz, Stanisław

• An artificial neural network model supported with multi criteria decision making approaches for maintenance planning in hydroelectric power plants

  Citation: 38

  Authors: Evrencan, TuÄŸba, Rabia, Tamer

• Operational quality measures of vehicles applied for the transport services evaluation using artificial neural networks

  Citation: 38

  Authors: A., A., R.