‌‌‌Journal Information

International Journal on Condition-Based and Predictive Maintenances

Online ISSN: request pending

Print    ISSN: request pending

Publishing model:  Open Access

DOI Prefix: 10.62762/IJCPM

Aims & Scope

The International Journal on Condition-Based and Predictive Maintenance (IJCPM) aims to publish high-quality, original research on the development, implementation, and advancements in condition-based monitoring and predictive maintenance strategies. The journal covers a wide range of topics including real-time data acquisition, machine learning applications, fault diagnosis, prognostics, and reliability optimization in industrial systems. IJCBPM seeks to address challenges and innovations in improving the efficiency, safety, and sustainability of maintenance practices across various sectors such as manufacturing, energy, transportation, and healthcare. The journal encourages interdisciplinary approaches and the use of emerging technologies to enhance predictive maintenance systems and drive industry-wide advancements.

Publication Frequency

Quarterly

Affiliated Society

Ownership

The journal is owned by Institute of Emerging and Computer Engineering.

Archiving

All journals published by IECE are archived in Portico, which provides permanent digital archiving for scholarly journals.

Ethics Statement

IECE is responsible for implementing rigorous peer review and strict ethical policies and standards to ensure that high quality scientific work is added to the field of scholarly publishing. IECE takes such publishing ethics issues very seriously, and our editors are trained to enforce COPE's Core Practices and Guidelines, with a zero-tolerance policy for plagiarism, data falsification, and other behaviours. To verify the originality of content submitted to our journals, we use iThenticate to check submissions against previous publications.