AI can Make Predictive Maintenance a Reality

AI can Make Predictive Maintenance a Reality

By Manufacturing Technology Insights | Tuesday, August 20, 2019

Artificial Intelligence Industrial AI strategy can benefit the business world and the operators by reducing cost and improving performance.

FREMONT, CA: The present scenario is dominated by industrial companies and machines, where at every step of work machines play a vital role to help humans. Now industrial companies have more data at their disposal than ever before. Smooth working is necessary, but now companies want to learn how to predict problems before they happen to prevent them on time.

With up-surging Industrial Artificial Intelligence (AI) and the Internet of Things (IoT), innovative software reshapes businesses. Artificial intelligence is revolutionizing the way of doing things in manufacturing, transportation, mining, automotive, and many other industries. An advanced AI strategy causes benefits like reduction in costs, performance upgrades, or the ability to unlock new growth opportunities which the company aims to achieve.

Earlier, the practical, holistic approach to asset protection and maintenance has required the integration of different and costly condition monitoring solutions. Today, a single AI strategy solution will ease the work of predictive maintenance.

Through artificial intelligence strategy, it is easy to predict the future failure point of a machine component, so that the element can be replaced, based on a plan, just before it fails. The technology measures various parameters that show a predictable connection with the component life cycle to predict maintenance.

Predictive maintenance is always better than planned maintenance. Predictive maintenance is done on condition-based indicators and alerts and also uses data from various sources to save the machines from higher risks. Time-based data drive planned maintenance.

Operators can easily upgrade the existing maintenance systems by using AI and can easily understand their machines even better than before. Now the operator has the right tools and the proper knowledge to get the job done.

Industrial AI strategy with AI-driven software will result in less downtime, fewer breakdowns, increased production, and enhanced safety. 

Following steps should be taken to craft an industrial AI strategy for predictive maintenance:

Data strategy

Artificial Intelligence needs a lot of relevant data to work. Primarily companies should audit their data to enable AI for predictive maintenance. Plenty of non-useful data cannot help but rather lead to wrong predictions.

Tie AI to business strategy

Business priorities changes day by day. To gain all the AI benefits and to get rid of outdated AI strategies, the first job is to review business strategies.

Implementation of appropriate technology

To implement AI, appropriate technology is needed. It is necessary to place the right technology for the right place and should install suitable systems

Execution of artificial intelligence

For the execution of AI strategy, there is a need for proper projects and platform, and a delivery agent to deliver the actions.

Proper management

Implementation of the AI project will change the culture of the company and will also impact the employees work. Proper management is necessary to control the whole environment and to make the project work smoothly.

AI is an intelligent and autonomous machine, but on the other hand, it can be considered as a good servant but not a good master. AI can be treated as helping hand but can’t be believed as a multi-talented tool. One thing should be kept in mind that artificial intelligence should become a helping hand for humans by simplifying operations rather than complicating matters.

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