A decision on the best condition monitoring technology that fulfills the user criteria can be complicated due to the many criteria and condition monitoring alternatives. This work lists criteria filtered from an extensive literature review on the condition monitoring selection criteria then surveys experts to know the weight of each criterion when selecting a technology to monitor an automotive lubrication system. The work then applies a fuzzy-TOPSIS model to select the condition monitoring technology according to the listed criteria.
Selecting a Condition Monitoring Technology to Monitor Automotive Lubrication System Using Fuzzy-TOPSIS
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