Refine by
Condition Based Predictive Maintenance Articles & Analysis
11 articles found
However, what is crucial is not merely data collection, but the ability to derive reliable decision-making bases for operation and maintenance from this data. Growing complexity in water treatment Today, potable water treatment and wastewater treatment plants must meet significantly higher requirements than just a few years ago. ...
Predictive Maintenance Instead of following fixed maintenance schedules, smart sensors enable condition-based maintenance. For example, vibration sensors can indicate when a motor bearing is likely to fail, allowing technicians to replace it during a planned maintenance window ...
You may be surprised to learn that the on-off switch was not the starting point for adopting smart technology in the industrial sector. Historically, motor starters turned electric motors on and off, and overload relays protected motors from excess loading. And that’s been about it, even as Industry 4.0 has emerged to collect data from sensors, programmable logic controllers (PLCs), and ...
Buildings and factories are becoming more electrified by replacing fossil-fuel-based heating and processes. As more renewable energy is progressively added to the power grid, the grid itself must take steps to decarbonize. ...
As machines and technology evolve, maintenance strategies evolve too. The newest maintenance strategy is prescriptive maintenance (RxM). Previously, the most advanced maintenance strategies were condition-based maintenance (CBM) or predictive ...
ByRedlist
In the previous two posts in this series, we’ve looked at the hidden risks that make managing critical power facilities so challenging. We’ve also seen how digitalizing electrical power distribution networks trends mean you no longer have to ‘work blind.’ Connected smart devices sharing data with cloud or facility-based software and mobile apps help shine a bright light on ...
This is the second in a 2-part blog series about smart cement plants. In part 1, I covered the “theory.” In this blog, I’ll share a case study. Let’s provide a refresher on some ...
A.I. can be used for intelligent maintenance in the manufacturing industry to identify signs and indications of component failure to avoid catastrophic outages. With the effective use of artificial intelligence, the manufacturing industry significantly improved the condition-based maintenance by predicting when ...
As part of Maha Metro’s digital project management system, the organization is developing its Asset Information Management System as a synchronized arrangement for effective operations and maintenance. Combining documents, engineering and maintenance data, plus 3D models from disparate sources, the system is being used during construction to link all the ...
With IoT-enabled equipment, companies can provide condition-based or predictive maintenance, metered billing based on duty cycles of equipment, and gain better visibility into how customers are using a product for a more targeted sales approach in the future. ...
ByIFS
The four preventive maintenance strategies are: Reliability Centered Maintenance (RCM) Planned/Scheduled Maintenance (P/SM) Condition Based Maintenance (CBM), or Predictive Based Maintenance Performance Based ...