Predictive Maintenance Solutions & Predictive Maintenance…

Connect Best Practice to Results

Companies that implement predictive maintenance (PdM) programs reduce maintenance costs effectively and decrease up to 30% of their preventive maintenance (PM) tasks.

Decrease Maintenance Costs

Reduce Unexpected Failures

Decrease Repair and Overhaul Time

Reduce Spare Parts Inventory

Increase Mean Time Between Failures (MTBF)

Increase Uptime

Why Predictive Maintenance?

Most industrial equipment does not suddenly break down and stop working. The truth is equipment breaks down gradually, over a period of weeks or months. Furthermore, it gives off numerous warning signals along the way.

These early warning signs, such as slight changes in temperature, vibration, or sound, can be detected by condition monitoring technologies in real-time, including vibration analysis and oil analysis. This allows your maintenance team time to plan, schedule, and make repairs before you encounter equipment failures and unplanned downtime. With artificial intelligence (AI) and machine learning (ML) technology, data can be gathered and analyzed with greater efficiency.

Find out more about right-sizing your PM program with the guide: “Are You Doing Too Much PM? 16 Ways to Save Time and Money on Preventive Maintenance”.

The First Step

The first step to ensuring a successful PdM program is a simple list – a detailed and accurate equipment list.

Why? Your equipment list is the foundation for all the key steps that follow. If your list is incomplete or incorrect, everything that is built from it will be flawed. Any shortcuts or inaccuracies will be exposed as big problems later. Time is money, gain more of it by eliminating unnecessary preventive maintenance, decreasing reactive maintenance, and optimizing asset maintenance. A good list is essential for achieving everything listed below: