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The Early Warning Project on Predictive Maintenance
Advance warning and problem avoidance in complex industrial processes

By examining a project conducted with ConocoPhilips to find early indicators of problems in complex industrial processes, this paper presents an innovative statistical method to aid in diagnosing situations and solving problems, leading to the result of decreasing costs and increasing productivity through predictive maintenance.

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