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How Using Predictive Maintenance Can Extend Machine Life

How Using Predictive Maintenance Can Extend Machine Life

Preventing equipment failures and reducing unplanned maintenance is critical to productivity and the bottom line. Mining is equipment intensive; the equipment is expensive to maintain, operate and replace.  This cost of unplanned downtime is a major reason why waiting...

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See how the leading companies in mining, oil and gas, wind energy and rail sectors save millions annually with DINGO’s Asset Health solutions.

Mitigating the Risks of Wind Energy Growth

Mitigating the Risks of Wind Energy Growth

Originally appeared in the North American Clean Energy July/August 2013 Issue By Lauren Berry, Travelers, Clean Energy & Technology practice Reprinted with permission A recent Gallup poll revealed that Americans overwhelmingly want a greater emphasis on renewable...

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Condition Based Component Change Case Study

Condition Based Component Change Case Study

One of the modules offered by DINGO’s Trakka® software, a cloud-based predictive analytical and workflow maintenance management tool, is the Condition Based Component Change (CBCC) Module. CBCC allows for life process mapping, and evaluation of component condition. In...

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