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To mitigate failures of large assets, companies sometimes practice condition-based maintenance. This involves inspecting a machine, gathering information on its health, and deciding whether it is more cost effective to perform some preventative maintenance on it, or to leave it alone until the next inspection. Condition-based maintenance is centered around the inspections that are made, and these inspections are often made on regular intervals. However, records can show that many of these inspections return a “do nothing” decision. I aim to research a method to return information about the next best time to inspect, along with a current “do nothing” or “perform preventive maintenance” result. This is, to return “do nothing, and inspect again in 100 machine hours,” for example. Condition-based inspection planning has yet to be researched in this field. The cost of regular inspections can accumulate to a significant amount, and cause downtime. This new method may reduce the number of inspections necessary and change the paradigm of inspections in the field of maintenance.
Dr. Andrew Jardine
Janet Sung
Ontario Clean Water Agency
Engineering - mechanical
Environmental industry
University of Toronto
Accelerate
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