The on-board diagnostics predictive maintenance is commonly used in automobile service and maintenance for self-diagnosis and reporting of any issues that may occur, or have occurred within the system Using this, information such as emissions, mileage, faults, vehicle and engine speed, engine temperature, fluid levels, gear shifts, battery status, etc. can be monitored. This is connected to the Check Engine light or MIL-Malfunction Indicator Light, which illuminates when the system detects a problem. Till now it was largely used for post-facto analysis; i.e. only when some problem arises. However, by pairing smartphones with vehicles, this information can be readily made available to the vehicle owners and service stations, giving them a better picture of the car’s performance. Monitoring these parameters actively and with some level of on-device analytics, drivers can get proactive service alerts on their smartphones and potential faults can be identified for early diagnosis and care.

Faststream Tech’s onboard diagnostics predictive maintenance (PdM) techniques are designed to help determine the condition of the operating equipment of the car in order to predict when maintenance should be performed. This approach deploys the principles of statistical process control to predict at what point in the future will the maintenance activities be appropriate. Some predictive techniques are performed while equipment is in service, thereby minimizing disruption of normal system operations. Adoption leads to predictive maintenance cost savings.