According to a recent study by Market Research Future, predictive maintenance tools will save companies $6.3b by 2025.
By investing in tools, companies can reduce downtime and unexpected operating costs that may negatively impact their bottom line in the future.
Do you want to learn how to save your business valuable time and funds?
Keep reading if you want to find out what tools you need to keep your cranes operating.
What Are Predictive Maintenance Tools?
Predictive maintenance is the use of technology to intercept potential machinery failures. It focuses on the early observation of changes, which is more reliable than preventative maintenance. These issues can be fixed before the machine breaks.
Therefore, predictive maintenance is very valuable for safe working conditions and reducing downtime.
Tools To Implement
There are a few types of technologies we can implement. These include sensors to gather data and tools to analyze this data. It may also be important to invest in scheduling tools to organize these processes.
Sensors enable the detection of small changes in your machinery. They use multiple sensors and specific analytics so that you can detect a greater range of issues. This allows you to get a holistic understanding of how your machine works.
Sensors for vibration analysis detect indications of stress and wear through frequencies. If machines deviate from their usual vibration, this may indicate potential failure. These changes occur because a machine’s parts have reached the end of their lifespan.
Thermal imaging sensors check for excessive heat in interacting machine components. Catching these abnormalities early reduces one of the biggest threats to electric motors. This reduces costs, but it also prevents potentially dangerous working conditions.
Oil and lubricant sensors can expose potential leaks, excess metal, dirt, or sludge. This is important to examine how well your machine prevents moisture, dilution, or oxidization. It may also reveal grinding parts if metal shards are found in the oil.
Now that we have sensor data, we need comprehensive analysis and machine learning. Predictive maintenance occurs as these algorithms analyze patterns against past trends. Through advanced algorithms, they can detect potential failures before they happen.
You will then have to understand whether the part is a repairable or replaceable system. This is easier when using analytic software because it can identify trends. It can then suggest the best course of servicing.
It is also important to use tools to schedule predictive maintenance. This is important if you intend to use it in conjunction with preventative maintenance. That is, where you undergo regular, scheduled inspections of equipment.
How We Can Help
At Kor-Pak, we provide crane inspections and equipment repair services. These can be used as predictive maintenance tools to catch potential issues early.
If you want to understand more about implementing maintenance schedules, you can contact us. Don’t forget to share if you found this article useful.