Maintenance Before Failure: Predictive by Design

Most maintenance strategies still react to failure—after downtime, loss, and disruption have already occurred. Maintenance Before Failure: Predictive by Design reframes maintenance as a design choice, not an operational afterthought.
This book takes a reliability-first perspective on IoT. It explains how machines reveal early signals of stress, wear, and inefficiency long before breakdowns happen—and how systems can be designed to listen. Rather than treating predictive maintenance as a bolt-on analytics project, the book shows why sensing, modeling, and response must be intentional from the start.
Readers are guided through how vibration, temperature, usage patterns, and anomalies translate into actionable insight. The emphasis is on design decisions that make prediction possible: sensor placement, data quality, feedback timing, and integration with maintenance workflows. The book avoids hype and focuses on what actually works in operational environments.
You will explore:
• Why reactive maintenance is a design failure
• How machines signal problems before they break
• How predictive systems reduce downtime and cost
• Why data quality matters more than model complexity
• How prediction changes maintenance culture
This book is for engineers, operations leaders, and asset owners who want fewer surprises and longer equipment life. If failure feels inevitable, this book shows how design can make it optional.