A healthy fleet is the key to a thriving logistics business. And you can’t keep a healthy fleet without regular vehicle maintenance. But with a few different types of maintenance at your disposal, ...

Questar analyzed a large mixed-class fleet and discovered it was wasting as much as $30 in fuel per vehicle, per day, because of mechanically degraded aftertreatment systems.

As the world of industrial technology has become more competitive, companies have realized the importance of being able to adapt quickly to unpredictable changes in workflow and production. When ...

Hidden Markov Models (HMMs) provide a probabilistic framework to model systems with unobserved (hidden) states using observable signals, enabling predictive maintenance algorithms to infer machinery ...

In the second in a series, MathWorks industry manager Philipp Wallner and product manager Eric Wetjen explore the steps needed to leverage the power of artificial intelligence (AI) in effectively ...

In its most simplistic sense, there are two types of maintenance: reactive and proactive. While reactive requires managing a failure after it occurs, the various proactive maintenance approaches allow ...

Predictive maintenance is widely considered to be the obvious next step for any business with high-capital assets looking to harness machine learning to minimize equipment maintenance costs.

Predictive maintenance is emerging as a necessity for aerospace and defense (A&D) systems. By leveraging advanced analytics to monitor equipment health and anticipate failures, operators can ...

Predictive maintenance (PdM) is a proactive, data-driven maintenance approach to monitoring real-time equipment operating conditions, to predict possible equipment failure and establish efficient ...

With petabytes of sensitive information in its possession, strategy and engineering firm PavCon LLC uses Amazon Web Services Inc. to keep its data secure as a U.S. Air Force contractor. The company ...