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Deterioration Prediction

Forecast asset condition with precision throughout its entire lifecycle, enabling proactive maintenance and optimal capital planning.

Our advanced prediction models integrate environmental factors, usage patterns, and material properties to deliver accurate deterioration forecasts that evolve with your assets.

Data Inputs

Historical condition assessments from 1,000+ sites
Environmental exposure factors
Material specifications and properties
Usage patterns and load factors
Maintenance history and interventions

Prediction Model

900+ calibrated deterioration curves
Self-learning algorithms that improve with new data
Monte Carlo simulations for uncertainty analysis
Bayesian updating for continuous refinement
Asset-specific calibration factors

Forecast Outputs

Condition state projections (1-5 scale)
Remaining useful life estimates
Intervention timing recommendations
Budget forecasts for maintenance needs
Risk profiles with confidence intervals

CAMS has been an eye opener at City of Melbourne and helped us reach a depth we have never been able to reach before.

John Yovanches

Business Systems Co-Ordinator | City of Melbourne

Ready to predict your asset's future?

Request a Demo