assethealth

Asset health is a measure of the current condition, performance, and expected remaining useful life of an asset within an organization. It integrates data from asset inventories, maintenance histories, telemetry, and operating conditions to assess reliability and risk. Asset health is used across domains such as information technology, manufacturing, facilities, and fleet management to inform maintenance planning, risk management, and lifecycle decisions.

Data sources for asset health include configuration management databases (CMDB), enterprise resource planning systems, IoT sensors, condition monitoring, work orders, fault logs, and environmental measurements. These inputs feed health indicators such as a health score, risk score, predicted remaining useful life, and anomaly alerts. The outputs guide actions like preventive maintenance, spare parts provisioning, and scheduled downtime, aiming to minimize unplanned outages and extend asset life.

Approaches to assessing asset health range from rule-based thresholds to statistical models and advanced predictive analytics. Time-series analysis, condition indicators, and machine learning can detect early warning signs of degradation and forecast failures. Organizations often present asset health in dashboards that combine severity, trend, and suggested remedies for technicians and managers.

Governance and standards considerations include alignment with asset management frameworks such as ITIL and ISO 55001, emphasis on data quality, interoperability, privacy, and security. Benefits of asset health programs include reduced downtime, optimized maintenance spend, better capital planning, and more informed asset retirement decisions. Common challenges involve data silos, sensor reliability, variable operating conditions, and the need to balance predictive insights with practical maintenance workflows.