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, ...

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 ...

Isn’t predicting future maintenance needs what many, if not all, fleet managers desire? We’re not just talking about getting advance warnings via remote diagnostic technology or how ongoing fluid ...

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 landscape of professional work is undergoing a fundamental shift, as detailed in the 2024 Work Trend Index Annual Report from Microsoft and LinkedIn. AI has transitioned from a futuristic concept ...

Thermal power generation has to adapt new methods to thrive as renewables transform dispatch. Now used more often as a bridge source of power rather than the main source of power, many fossil fuel ...

Fine tuning IIoT predictive maintenance models According to Wael Elrifai, senior director of sales engineering and data science at Hitachi Vantara – the company’s IoT arm – one of the complexities of ...

Deloitte has highlighted that poor maintenance strategies can reduce a plant’s productive capacity by 5-20%, with unplanned downtime costing industrial manufacturers an estimated $50 billion annually ...

Predictive maintenance aims to minimize unplanned downtime by using artificial intelligence (AI) and machine learning to identify impending problems, so they can be addressed before they take effect.

Inaccurate or overlooked alerts on manufacturing data can be reduced with proper data handling when developing and deploying predictive models. Data analytics, and specifically predictive analytics, ...