Heavy Duty Trucking, September 2018
say with sophisticated electronics and complex analytic algorithms were closer to the dream today than ever before Others shrug and say been there tried that In a sense both trains of thought are legitimate The end game is the same but the tools have changed Can todays tools get us any closer than 75 or 80 accuracy Predictive maintenance does have a place in transportation says Joe Puff vice president of truck technology and maintenance at NationaLease The question is where and when is it practical for a fleet In order for it to be fully effective at least one of two criteria have to be met scientific evidence or conclusive historical data The data that we get today is extremely powerful but the science behind a failure is extremely difficult to prove because there are so many contributing factors such as redictive maintenance like perpetual motion would be a great idea if it we could make it work The prospect of predicting when a component might fail so it could be replaced just before it causes some inconvenience or calamity has had fleet maintenance managers salivating for decades Some MAINTENANCE By Jim Park Equipment Editor jpark@ truckinginfo com HDT SEPTEMBER 2018 72 WWW TRUCKINGINFO COM P The term predictive maintenance has been around for decades Today its mostly data driven compared with yesterdays more seat of the pants approach Dealership service writers will know what the problem is before the truck drives onto the lot Predictive analytics can help with parts inventory and technician training programs to keep the service process moving faster HOW DATA IS CHANGING PHOTO JIM PARK
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