Traditional methods of equipment maintenance are often reactive – servicing equipment once it fails – or based on time intervals or hours of use. Reactive maintenance can represent expensive unplanned downtime and non-routine servicing that may be more costly. Time-based servicing may under- or over-service equipment, which can inflate maintenance costs and reduce asset longevity.
By employing sophisticated analytics, DataV can use current operating conditions to recommend servicing when it is truly needed based on actual usage and other factors like environmental conditions. As a result, industrial companies can improve maintenance and repair processes across all their connected equipment. Condition-based maintenance also significantly improves asset reliability and longevity, lowering service costs and helping defer capital expenditures.