Modeling Remaining Useful Life Dynamics in Reliability Engineering 1st Edition

Capture the future of asset health with Modeling Remaining Useful Life Dynamics in Reliability Engineering, 1st Edition by Pierre Dersin — a rigorous, accessible guide that helps engineers and data scientists predict when equipment will fail and plan maintenance with confidence.

This book draws you into the heart of modern reliability engineering, explaining core principles of remaining useful life (RUL) modeling, stochastic degradation processes, and prognostics and health management. Dersin balances mathematical clarity with practical insight, demonstrating how probabilistic models, survival analysis, and data-driven techniques combine to produce robust lifetime forecasts for complex systems.

Designed for practitioners and graduate students alike, the text makes advanced methods actionable: learn to translate sensor data into meaningful RUL estimates, evaluate prediction uncertainty, and integrate forecasts into maintenance decision-making. Real-world applications across aerospace, manufacturing, energy, and transportation illustrate how the techniques apply in varied operational and regulatory environments worldwide.

Whether you are implementing predictive maintenance programs in North America, Europe, or Asia, or exploring research in industrial reliability, this first edition is a go-to reference that strengthens analytical skills and improves operational outcomes. Clear explanations, illustrative examples, and a focus on transferable tools make it an essential addition to the bookshelf of any professional working at the intersection of engineering, data science, and asset management.

Advance your reliability practice—invest in a book that turns uncertainty into actionable intelligence.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.