What are common use cases for using a mileage sensor in predictive maintenance?
If your business maintains a fleet of vehicles, you’ll want to use mileage sensors to trigger regular inspections, fluid changes, replacements, or servicing tasks to keep your fleet in good working order. Using your CMMS to track the maintenance work will help you schedule these fleet maintenance tasks in an orderly fashion. Here are typical mileage-based maintenance tasks:
Every 3,000 to 7,000 Miles
Ideally, you should follow the maintenance schedule recommended by the vehicle manufacturer. For most cars, you should change the oil and filter every 3,000 miles. Some cars allow you to wait up to 7,000 miles between changes. During these tasks, require that your maintenance technicians also check the power steering fluid levels, windshield wiper fluid levers, transmission fluid levels, coolant levels, exterior lights, and tire pressure.
Every 15,000 to 30,000 Miles
Again, turn to the automotive manufacturer’s recommendations. However, technicians should plan on replacing the air filter at 15,000 miles. The battery and coolant should be checked around 20,000 miles, and the fuel filter replaced at 25,000 miles. At the 30,000-mile mark, change the power steering fluid and inspect the radiator hoses, brake pads, HVAC system, and suspension system.
Every 35,000 to 50,000 Miles
If you haven’t replaced the battery, make that a priority at 35,000 miles. Replace the spark plugs and wires at 40,000 miles. Check the ignition system and suspension system at this time as well as every 5,000 miles after that.
Every 60,000 Miles
At this point in the life of a vehicle, you’ll want your technicians to replace brake pads and fluid, coolant, power steering fluid, radiator hosts, and the timing belt. You should also check the suspension system, tires, and HVAC systems again if they have not been previously serviced.
By employing mileage sensors as well as the many other available sensors within your maintenance program, you’ll be able to track and monitor many aspects of your facility and its equipment. All of this data can be used to help you build or improve your predictive maintenance system.