Condition Monitoring & Predictive Maintenance Series

This "interconnected standalone series" brings together eight complementary books covering the four key techniques in predictive maintenance: Vibration, Oil, Infrared Thermography, and Ultrasound analysis along with additional titles focusing on AI-driven predictive maintenance strategies in Industry 4.

Each topic is presented in two editions:

Visual Editions (2020–2021): Rich in diagrams, thermographic images, and visual examples designed for hands-on engineers and practitioners.

Enhanced Editions (2025): Expanded with in-depth narration, case studies, and the integration of Artificial Intelligence methods for improved diagnostics and predictive accuracy.

Together, these editions provide a complete toolkit for both practical fieldwork and advanced data-driven analysis, making the series a unique and comprehensive reference in condition monitoring.

Each book in this series is a standalone reference and can be read independently.

Dr. Mohammed Hamed Ahmed Soliman is a mechanical and industrial systems engineer with extensive expertise in reliability, maintenance, and process optimization. He has authored more than 120 books and scientific publications, bridging academic research with real-world engineering practice.