Abstract: Software maintenance and evolution are critical processes that ensure software systems remain functional, efficient, and adaptable over time. This article explores the four primary types of ...

Relationships between asset data utilization and maintenance strategies often get complicated, especially in cases where data collection practices are designed to merely follow and not build ...

Leveraging algorithms and past performance, IIoT and analytics help determine schedules and increase uptime. Historically, process manufacturers lacked sufficient data to predict critical equipment ...

Daniel Penn Associates recently asked members of LinkedIn’s Association of Asset Management Professionals Group “What is the maintenance strategy that you use the most with your organization?” The ...

These standout case studies show how manufacturers have reduced downtime, cut costs, and improved reliability using ...

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.

Corrective maintenance refers to any tasks that identify and fix faulty equipment or systems in order to restore them to working order. Incorporating it into your management strategy can keep your ...

These state-of-the-art sensors are revolutionizing the way we approach NDT and predictive maintenance, offering a comprehensive and reliable solution for real-time monitoring. With their exceptional ...