Predictive maintainance

Predictive Maintenance and IoT

What is Predictive Maintenance?

Predictive maintenance in its basic premise is what the title implies, maintenance that seeks to predict and prevent issues that crop up in equipment care, rather than wait until there’s a problem that has already disrupted business operations

Therefore, Predictive maintenance is a technique which uses data analysis tools to evaluate the condition of equipment by performing periodic or continuous monitoring and detect anomalies or defects and fix them to prevent any loss or failure. Because predictive maintenance is only performed when equipment failure is imminent, it is more cost-effective than other common forms of maintenance like preventative or reactive This, like everything else in the manufacturing industry, has been revolutionized with the arrival of IoT.

How does it work?

Predictive Maintenance uses various kinds of old and real-time data from different parts of the operation to anticipate issues before they occur. Technologies like IoT, integrated systems and AI are transformative since they allow for syncing of people and different systems to work, share and study data together.

These technologies capture real-time data that is continuously updated, analyze it for any defect or irregularity and in this way monitor every part of the operation carefully. Some examples of using predictive maintenance and predictive maintenance sensors include oil analysis, vibration analysis, thermal imaging, and equipment observation.

What are the Advantages of Predictive Maintenance?

Predictive Maintenance has the following advantages

Reduced Maintenance Cost by 12%

Maintenance, unexpected downtime, interrupted operations and other associated costs for assets increase up the cost significantly. Therefore, companies can save money by being able to predict and avoid equipment failure.

Extended ageing asset’s life by 20%

With the help of IoT based preventive maintenance, you can schedule maintenance, repairs and predict events before they occur, and get real-time alerts that help you take prompt action, thereby extending the life of your assets.

Uptime improved by 9%

Adopting IoT based predictive maintenance can help avoid unplanned downtime caused by machine repairs and delays. IoT based predictive maintenance can help analyze data, predict issues and schedule maintenance and inspection routine to avoid unnecessary effort and increase operation efficacy and uptime manifold.

Reduce Safety, health environmental and quality risks by 14%

IoT based Predictive Maintenance analyzes data from multiple sources, both internal and external sources. This can be used to identify potentially hazardous conditions and estimate its impact on working conditions.

Increased efficiency

Predictive maintenance allows a holistic view of asset health which help organizes plan, prioritize and schedule work. Machine failure and unplanned downtime often result in work relocation, hiring extra personnel, rescheduling and so on. This can be avoided with IoT based predictive maintenance, which helps the efficacy of service crew and reduces asset downtime.

What are the Disadvantages of Predictive Maintenance?

The higher upfront cost:

It’ll cost you a significant amount to establish a complete IoT system with sensors, transmission costs and analysis. Thought the initial investment is high, the results make up for it.

Requires skilful Data interpretation:

Adopting IoT based Predictive Maintenance requires skilled labour who can handle the technology and analyze as well as interpret the data collected from the tools.

In conclusion

IoT based predictive maintenance is an important advancement which enables us to truly unleash the extensive potential of the Internet Of Things. This can as said above improve the efficiency of operations, reduce failures and increase cost-effectiveness by manifold. Despite its disadvantages, IoT based predictive maintenance is a rewarding and smart investment.

Thingstel provides you end to end IoT solutions integrating the latest innovations in Network Technologies, Cloud Computing, Big Data, Machine Learning, and Artificial Intelligence. We also offer you data-driven decision support which in turn increases productivity and lowers cost. We are excited to be a part of the 4th industrial revolution or Industry 4.0 and we welcome you to join us.

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