Investigation of Fault Diagnosis and Prognostics Techniques for Predictive Maintenance in Industrial Machinery

Abstract

This research looks into fault detection and prognostic methods for industrial machinery predictive maintenance to maximize equipment dependability, reduce downtime, and improve operational effectiveness. The project aims to investigate integrated fault diagnosis and prognostics methodologies, analyze their applications in different industrial sectors, and determine policy implications to encourage implementation. Peer-reviewed articles, industry reports, case studies, and other current material are thoroughly reviewed as part of the technique. Major conclusions demonstrating the value of integrated fault diagnosis and prognostics in early fault identification, proactive decision-making, and optimal maintenance scheduling have been drawn from case studies in the power generating, petrochemical refining, and automotive manufacturing industries. The policy ramifications encompass the requirement for staff training, data standardization, investment in R&D, and regulatory frameworks to surmount constraints and stimulate innovation in industrial maintenance procedures. Organizations must adopt predictive maintenance technology to maintain competitiveness, cut expenses, and guarantee the dependable operation of vital mechanical assets in changing circumstances.

Adapting Businesses to the 6G Security Paradigm: Insights from Commerce 5.0

“…One of the main points of contention in the 6G conversation is strengthening cybersecurity defenses against new threats and weaknesses. Businesses must face the reality of an increasingly complex cyber threat scenario as they take advantage of 6G technology's transformative potential (Varghese et al, 2023). The consequences of having a weak cybersecurity posture can Asian Business Review • Volume 14 •Number 1/2024 be disastrous, putting sensitive data, intellectual property, and operational continuity at risk, from ransomware assaults to supply chain intrusions (Ande, 2018).…”