Predictive maintenance uses real-time data to inform fleet managers which parts on a vehicle are likely to fail, possibly even weeks before the failure is likely to happen. In the long term, predictive maintenance can extend the vehicle life span and help managers ensure that they have an adequate fleet capacity. Fleet managers are turning towards predictive analytics to stay on top of maintenance and mitigate part failures before they can occur. However, managing the large amount of new data generated by vehicle sensors is challenging.

Tangerine’s Solution for Predictive Maintenance

Tangerine’s AI integrated platform for fleet maintenance can build predictions based on direct measurements of equipment. This platform also provides contextual data like weather conditions, traffic, road quality, and driver behavior. The most important and an illustrative difference between a fleet preventive maintenance program and predictive maintenance is a paradigm shift from assumptions and strict scheduling to data-driven decisions and real-time fleet monitoring.Tangerine uses AI to improve many aspects of fleet maintenance, be it reducing unplanned downtime or increasing efficiency in the maintenance and repair process.

• Get preventive and predictive maintenance information for each asset to track maintenance services and understand RUL.
• Keep tabs on everything from required repairs to scheduled services and daily inspections to keep assets at their highest performance levels.
• Monitor vehicle issues by capturing DTCs for both OBD II and J1939 protocols.

Avoiding Vehicle Downtime

Any organization that relies on vehicles in daily operations understands how critical it is to keep them up and running. By outfitting vehicles with sensors, maintenance crews can collect useful information that helps them predict part failures on a large fleet. However, analyzing and managing this volume of new data can be overwhelming. Many organizations are moving towards ways to run analytics at the edge, on the device at the gateway level, as part of end-to-end fleet management.

Advanced Technologies Behind Fleet Maintenance

Artificial intelligence plays a critical role in building predictions based on collected telematics data. To process the data analytics and deliver fast alerts, predictive fleet vehicle maintenance platform relies on cloud computing and provides contextual data. Finally, the service and fleet managers must receive easy-to-use reports and be ready with all the tools at hand to plan relevant equipment maintenance.

Telematics Data Collection

By turning to telematics data, most fleet companies can shift from reactive to preventive measures. By doing so, it helps fleet managers address small problems before they become critical to address. Connected IoT sensors can provide real-time data on vehicle parts and send Diagnostic Trouble Codes (DTCs) to track mechanical failures in real time while fleet management platforms use this data for analytics and predictive maintenance planning.

User-friendly and Comprehensive Dashboards

When running AI data analytics for failure prediction,the platform for fleet maintenance must provide a visual representation of data in a consumable form. Dashboards with customizable functionality allows fleet managers to choose what data is the most critical to display,cross-platform accessibility ensures that fleet managers are always connected ,can react to potential issues and monitor fleets from their mobile devices.

Increased Efficiency of Fleets and Drivers

Advanced technologies applied to fleet maintenance improves the entire repair network. Continuously monitoring each fleet vehicle results in individual vehicle profiles, which makes it easier for technicians to perform repairs and take preventive measures to avoid related issues. As a result, the fleets avoid losing their equipment for extended periods to detect all malfunctions while drivers avoid accident incidents on the road.

Final Words

Predictive maintenance helps fleets by reducing vehicle downtime due to avoidable repairs. In addition, vehicles can be utilized more efficiently because maintenance is planned only when it’s required. With a pre-trip inspection and a preventative maintenance program,  fleet managers can schedule maintenance based on accurate diagnostics and vehicle usage information and reduce unnecessary cost, fleet downtime, and jeopardy to the public safety. As vehicles with less use do not require as many maintenance stops, the availability of assets increases while losses due to unnecessary maintenance are minimized. Establishing thresholds of use for each asset and monitoring how close a vehicle gets to those thresholds makes outcomes more predictable and enables timely actions.