Some of the earliest examples of useful AI were in the area of maintenance, and predictive diagnosis. We examined a number. of engineering applications. The market value of use is enormous. From cars to jet engines. Natural to look at the latest machine learning techniques here. MIT's progress in the area. Detailed papers are pointed to.
Let your car tell you what it needs
MIT team develops software that can tell if tires need air, spark plugs are bad, or air filter needs replacing.
David L. Chandler | MIT News Office
Imagine hopping into a ride-share car, glancing at your smartphone, and telling the driver that the car’s left front tire needs air, its air filter should be replaced next week, and its engine needs two new spark plugs.
Within the next year or two, people may be able to get that kind of diagnostic information in just a few minutes, in their own cars or any car they happen to be in. They wouldn’t need to know anything about the car’s history or to connect to it in any way; the information would be derived from analyzing the car’s sounds and vibrations, as measured by the phone’s microphone and accelerometers.
The MIT research behind this idea has been reported in a series of papers, most recently in the November issue of the journal Engineering Applications of Artificial Intelligence. The new paper’s co-authors include research scientist Joshua Siegel PhD ’16; Sanjay Sarma, the Fred Fort Flowers and Daniel Fort Flowers Professor of Mechanical Engineering and vice president of open learning at MIT; and two others. ..... "
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