Maintenance is an important aspect that several organizations ignore. As a result, organizational assets do not work properly, asset failure occurs, and asset performance is not up to the mark. These types of scenarios are quite common when assets do not get maintenance on time.
That is why organizations must not ignore maintenance. In fact, they should provide proactive maintenance to their assets which is helpful in minimizing maintenance expenses.
However, there are several types of proactive maintenance. Hence, in this blog, we will learn about predictive maintenance and its techniques used in performing different maintenance tasks. So, without wasting any time let us begin!
What Is Predictive Maintenance?
Predictive maintenance is one of the most frequently used proactive maintenance in organizations. Predictive maintenance ensures that assets get maintenance exactly when it is required not before it makes the organization more efficient and decreases maintenance expense.
Small and medium-sized organizations do not have much budget. They need to take care of assets in the allotted amount to the maintenance team, that is why it is essential to take care of assets so that the budget amount does not exceed the allotted amount.
According to the Allied Market Research, “The global predictive maintenance market size was valued at $4,331.56 million in 2019, and is projected to reach $31,965.49 million by 2027, growing at a CAGR of 28.8% from 2020 to 2027.”
That is why the market for predictive maintenance software is growing at a great speed.
Predictive maintenance inspects assets, monitors the condition of each asset, and reduces the chances of asset failure. It can be important for organizations facing sudden asset failure issues, asset maintenance, and performance-related problems.
Basically, the predictive maintenance tool anticipates when failure can occur and before that maintenance is performed.
Recommend To Read: What Are the Essential Features of Predictive Maintenance?
What Are the Techniques Used in Predictive Maintenance?
Below we have discussed predictive maintenance techniques used in business:
1. Oil Analysis
One of the main predictive maintenance techniques is oil analysis. The maintenance team can find a lot of information with oil analysis and effective outcomes can be achieved.
This technique utilizes oil tests to decide hardware wear. It estimates the particularities of oil tests, like number and size, to decide machine crumbling.
Other than molecule counts, oil analysis tests can uncover the thickness, presence of water or wear metals, and the corrosive number or base number.
These molecular counts help in discovering potential problems and enable the team to overcome potential issues so that unplanned downtime can be avoided.
2. Vibration Checking
Lots of heavy pieces of equipment have several joints in order to keep it safe and to keep employees safe it is essential that vibration checking is done at regular intervals.
It assists the organization to know whether asset joints are ok or not. However, for this purpose real-time sensors are used. These sensors are helpful in detecting abnormal vibrations. Therefore, it is also an important predictive maintenance technique.
3. Real-Time Information
When an organization uses real-time information it is helpful in understanding performance while it is working so that the maintenance team can check if an asset is working well or need some calibration adjustments.
If adjustments need to be made then a checklist is created with a predictive maintenance solution, and this adjustment is done when asset maintenance is performed.
4. Key Performance Indicators List
In key performance indicators organizations monitor assets consistently so that performance of a particular asset can be calculated. It is helpful in getting valuable data from the asset so that organization can establish a bar for what to expect from an asset.
The significant key performance indicators are unplanned downtime, asset failure or reactive maintenance done, maintenance expenses, and so on.
Missed To Read: What Are the Various Tools Used in Predictive Maintenance?
Why Is Predictive Maintenance Important?
Predictive maintenance provides maintenance insights that help in asset optimization. it provides several benefits as we have given below:
1. Minimized sudden asset breakdown.
2. Increased uptime & decreased downtime.
3. Enhanced asset lifecycle.
4. Asset performance optimization.
5. Decreased maintenance expenses.
6. Better safety.
7. Reduce maintenance expenses.
8. Improved asset reliability.
Asset monitoring and inspection are important aspects of predictive maintenance. It is an effective solution when your organization is facing frequent asset failures and the downtime of assets is way too much.
With effective asset management software, you can easily increase uptime and decrease maintenance expenses but also you will not have to worry about asset maintenance.
As this software will alert & notify team members as er the schedule. Teams can create checklists so that no activity is left or forgotten. Reports are also helpful in making an informed decision that helps with business growth
Investing in automated maintenance management software will improve the efficiency of assets.
With this software, you can get crucial information at your fingertips. Moreover, you can check the complete asset and inventory list. For asset depreciation management this software provides easy calculation and accuracy.
Furthermore, quickly access all information from a centralized dashboard & easily track, manage and control all your assets.
Also Read: What Is the Difference Between Periodic and Predictive Maintenance?
Frequently Asked Questions (FAQs)
Q.1 - What Is Proactive Maintenance?
Proactive maintenance enables organizations to perform maintenance before asset failure can occur. Maintenance is scheduled for assets so that asset failure does not occur. It is an effective method for saving on maintenance expenses. Moreover, proactive maintenance makes assets more reliable, and performance is optimized as well. It is helpful in optimizing asset life, discovering issues on time, and resolving them before they can become a huge issues.
Q.2 - What Is the Difference Between Predictive Maintenance and Preventive Maintenance?
Predictive maintenance and preventive maintenance are both remarkably like each other as both strategies schedule maintenance before asset failure can occur. Both are helpful in minimizing maintenance expenses. The difference is preventive maintenance is simpler compared to predictive maintenance as it provides right before asset failure is about to happen whereas preventive maintenance is scheduled maintenance. Therefore, predictive maintenance utilizes assets to their full potential. Moreover, in order to implement predictive maintenance, you need a more skilled maintenance team.
Q.3 - What Are the Distinct Types of Proactive Maintenance Strategies?
Below we have given a few of the main proactive maintenance strategies:
1. Collect valuable data from each asset.
2. Analyze & utilize that data to track trends.
3. Perform essential activities to recover from faulty indications.