Three Common Applications for Condition-Based Maintenance

Three Common Applications for Condition-Based Maintenance (CBM)

Guest blog from Better Buys

Condition-based maintenance (CBM) is a CMMS software add-on that keeps tabs on the actual state of your critical assets by recording the output of any meters and gauges on that asset, making it easier to diagnose problems and prevent asset failure.

Today’s maintenance teams are using CBM to improve their efficiency and their organization’s bottom line. The three most common applications of condition-based maintenance measure temperature, pressure, and oil viscosity.

Common Applications for Condition-Based Maintenance

1. Temperature Readings

Temperature readings help monitor and control an asset’s environment. Many assets can or do include sensors to gather temperature data, including infrared readings and thermal imaging. Also organizations are using “smart” technology to help facility managers measure and control building temperature.

Who depends on temperature readings?

Many universities, hotels, and hospitals are upgrading HVAC units to better monitor temperature. Windows and doors also can be outfitted with sensors. With these real-time readings, the HVAC can adjust for humidity and temperature, and alert staff to any issues.

Machinery also can overheat, and computers must be continually cooled. Monitoring the temperature of these assets allows staff to prevent emergency shutdowns or even fire damage.

2. Pressure States

Sensors can monitor pressure on equipment with piping or water systems. Monitoring pressure over time allows maintenance staff to predict when a pipe could fail and replace it beforehand. Instead of tracking down a leak after it happens, monitoring pressure indicates when and where a leak will likely happen before it does.

Who depends on pressure states?

Machinery in food and beverage production as well as product manufacturing rely on pipe or liquid systems. As competitive businesses are pushed to increase production while maintaining reliable operations, tracking pressure saves time on diagnosing problems. Maintenance staff also can keep parts at proper inventory levels for scheduled fixes.

3. Oil Viscosity

A classic example of preventive maintenance (PM) is changing the oil in your car, either based on a calendar schedule (e.g., every three months) or based on mileage (e.g., every 5,000 miles). By adding condition-based maintenance to your preventive maintenance schedule, your maintenance team can monitor the oil particles to tell when to change the oil. Instead of 5,000 miles, the oil could last 8,000 miles.

Who depends on oil viscosity?

For construction or fleet vehicles, using CBM allows staff to schedule equipment maintenance and work more efficiently. In the long term, it also saves on oil and other parts.

The Impact of Condition-Based Maintenance

Condition-based maintenance offers organizations a competitive edge. Instead of performing failure-based maintenance, you can use CBM data to prevent problems before they happen and minimize overtime for technicians, cutting down on labor costs. Make your preventive strategies more accurate and reliable with CMMS and CBM.

Contact MPulse with questions about how CBM can help your maintenance operations.

Author Bio: Julia Scavicchio is a writer with Better Buys, a trusted source on enterprise software news and research.

Popular Categories

Latest Post

Organized maintenance workshop with accessible tools

5S in Maintenance: A Practical Guide for Facility Teams

Maintenance team scoring asset risk together

Risk-Based Maintenance: How to Prioritize by Risk

Condition sensors mounted on an industrial motor

Predictive Maintenance AI: How It Works and How to Start

Coordinator comparing purchase and work orders

Purchase Order vs Work Order: What Sets Them Apart

Related Posts

Learn how 5S applies to maintenance: what each pillar means for tools, equipment and work areas, how to sustain it, and how to measure results...
Risk-based maintenance ranks assets by failure likelihood and consequence. Learn the steps, a scoring example, real results and how a CMMS supports it...
Predictive maintenance AI explained: how machine learning forecasts equipment failures, which algorithms fit which job, what data you need and how to start...

Can't Find What Your Looking For?

Our team of experts is happy to assist with finding the maintenance management software resources you’re looking for!