Overcoming challenges in predictive maintenance
Thursday June 10, 2021
Engineers encounter various challenges when incorporating predictive maintenance techniques in their workflow. We’re highlighting ways to overcome some of the main obstacles faced when using predictive maintenance evaluations.
The concept of predictive maintenance is not new, but the advancement of technology created to overcome the challenges faced in maintaining extensive equipment and machinery equips industries utilising this technology with a futureproof solution for life.
However, as with any advanced technology, engineers globally encounter various challenges when incorporating predictive maintenance techniques in their workflow. We’re highlighting ways to overcome some of the main obstacles faced when using predictive maintenance evaluations.
Predictive maintenance uses highly advanced techniques to determine the condition of specific equipment. Therefore, it is essential to utilise staff with in-depth knowledge and understanding of the methods used to carry out the work safely and efficiently.
These specialist requirements can prove to be complicated for companies with advanced machinery across multiple sites. However, with Motion’s Kinetic software, a cloud-based platform that enables businesses to automate their inspection and asset management process, users have complete visibility of qualified individuals available to carry out specific work and assign competencies against individuals to particular jobs.
Predicting failures in systems
One of the key benefits of predictive maintenance is the ability to identify a failure before they occur. However, it is then up to the engineers to take action and address any serious issues.
Based on the results of predictive maintenance evaluations, engineers can target specific systems and equipment most likely to fail and set up regular inspections to ensure that systems are running smoothly and remain fully compliant.
With inspection compliance engineering software, such as Kinetic, engineers can ensure frequent asset management checks and inspections, especially for systems at the highest risk of failures, are fully automated, ensuring that each equipment is fully compliant and safe for use.
When carrying out predictive maintenance evaluations on machinery, equipment performance data is recorded and shared with the relevant employees, often in a digital format.
When sharing information, companies run the risk of exposing data to external parties. When it comes to predictive maintenance, sharing data can increase the possibility of unauthorised individuals taking control of predictive maintenance systems.
Companies need to protect this type of information, especially where customer data is involved. A cloud-based system such as Kinetic ensures information on reports and asset management data is accessible by the relevant authorised personnel and uploaded in Kinetic either online or offline.
Each industry using specialist engineering software faces its unique challenges, and those using predictive maintenance are no exception. However, reacting and addressing these areas of focus in a timely and efficient manner through automated technology translates to significant cost and time saving for businesses whilst offering total peace of mind over the efficiency and safety of the equipment.
Are you looking to automate your entire inspection process?
Book a demonstration and find out how Kinetic can work for your business.