Many predictive maintenance models are based on pattern recognition which requires mass amounts of data collection over a long period of time to learn cause and affect relationships. In order for the system to learn these, many failures have to occur. That's where the AI Simulation model comes in. The cause and effect of many industrial relationships are already known. This model expands on these known relationships to deliver faster ROI and predict the remaining life of the equipment without waiting for catastrophic failures. The remaining life of your equipment, down to the date, is fine-tuned overtime the longer the system runs.