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Contact Name
Ika Dewi Wijayanti
Contact Email
ika.dewi.wijayanti@its.ac.id
Phone
-
Journal Mail Official
jmes@its.ac.id
Editorial Address
JMES: The International Journal of Mechanical Engineering and Sciences Editorial Office Departemen Teknik Mesin, ITS Kampus ITS Sukolilo Surabaya 60111 Building C, Floor 2 Indonesia
Location
Kota surabaya,
Jawa timur
INDONESIA
JMES: The International Journal of Mechanical Engineering and Sciences
ISSN : -     EISSN : 25807471     DOI : https://dx.doi.org/10.12962/j25807471
JMES publishes high-quality original research articles, review articles, and letters to the editor that advance mechanical engineering and related disciplines. The journal provides an international platform for researchers, academics, and industry practitioners to disseminate scientifically rigorous, innovative, and application-oriented research, bridging fundamental science with real-world engineering solutions. JMES welcomes high-quality original research and review articles covering theoretical, experimental, and numerical aspects in the following areas: Thermal and Fluid Engineering, including heat transfer, fluid flow, and energy conversion. Manufacturing and Mechanical Design, focusing on manufacturing processes, product development, and mechanical systems. Materials and Structural Engineering, covering engineering materials, structural performance, reliability, and failure analysis. Computational Engineering, emphasizing modeling, simulation, optimization, and data-driven engineering methods. Sustainable Energy Systems, addressing renewable energy, energy efficiency, energy storage, and low-carbon engineering technologies.
Articles 1 Documents
Search results for , issue "issue in progress (vol. 11 no. 1)" : 1 Documents clear
Beyond Prediction: Integrating Physics-of-Failure Analysis with Predictive Maintenance for Failure Prevention: A Critical Review of Predictive Maintenance Approaches and a Case for Physics-of-Failure Prevention Witantyo; Taufik Hidayat; Ahmad Nur Muzaqin
JMES: The International Journal of Mechanical Engineering and Sciences Issue in progress (Vol. 11 no. 1)
Publisher : LPPM, Institut Teknologi Sepuluh Nopember, Indonesia

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Abstract

Predictive maintenance (PdM) has emerged as the dominant paradigm in industrial maintenance research, driven by advances in IoT, machine learning, and data analytics. However, this critical narrative review argues that the field’s near-exclusive focus on predicting when failures will occur has overshadowed a more fundamental question: why do failures happen? We critically examine PdM research (2010–2025) and identify a persistent gap: most predictive models detect degradation without addressing the underlying physical mechanisms that cause failure. Consequently, even successful predictions do not prevent recurrence. We propose that a physics-of-failure (PoF) approach—rooted in root cause failure analysis (RCFA) and reliability-centered maintenance (RCM)—offers a complementary and more durable solution when integrated with data-driven methods. A case study of 7,300 recurring spring leaf failures in a heavy truck fleet illustrates this gap: a single overlooked failure mechanism—shock absorber wear causing increased dynamic stress on springs—perpetuated a cycle that no predictive model could break, yet was resolved through root cause elimination. We propose an integrated framework combining data-driven monitoring with mechanism-based root cause analysis and design feedback, arguing that the ultimate goal of maintenance should be to eliminate the causes of failure, not merely predict them.

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