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.

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 ...

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 ...

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 ...

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 ...

The company is focusing on enabling autonomous asset optimization in manufacturers through data foundations and predictive ...

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

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 ...