We all rely upon many machines and equipment to deliver community infrastructure, transportation and the production of the essentials of life. If any of this essential equipment fails, then not only does that imply maintenance costs, but operators face operational downtime, which hurts the bottom line for their organisations.
To ensure risk mitigation of any unforeseen problems with equipment downtime, organisations today implement predictive maintenance (PdM) strategies.
What are Predictive Maintenance Solutions?
PdM solutions provide you with ways to continually monitor equipment operation and based on learned plant operational signatures (machine learning) predict when it requires maintenance. The goal is to perform this maintenance at the ideal moment when it is most cost-effective, rather than waiting for the equipment to fail and potentially damage other components of the system. PdM also allows asset managers and operators to perform maintenance when it is needed, rather than relying solely upon routine and scheduled procedures. It utilises technologies for real time analysis and prediction of the status by utilizing advanced numerical algorithms. Many of the monitoring and testing techniques can be done non-invasively while the equipment is in service. Common testing technologies include infrared, oil analysis, vibration analysis, sound level measurements, and other tests that can be completed online. Many companies also utilise process automation systems and other control systems to help with monitoring equipment while the equipment is used in all operational modes. Each operation mode (and in the case of manufacturing lines or shifts) perform with their own unique signature. Once that signature is learned, prediction confidence increases and advance warning of pending failure is a reality.
What are the Benefits of Predictive Maintenance Services?
Utilizing PdM solutions drives overhead costs down, while increasing the lifespan and value of assets. It also significantly reduces down time due to equipment malfunction and in particular failures that cannot be detected by traditional human observation and monitoring plant with 2-dimensional data.
Some of the benefits of predictive based maintenance include scheduling plant downtime when production permits and having parts and resources prepared and ready to perform the work when convenient. Being prepared ultimately means a further reduction in equipment downtime. Performing maintenance on equipment before damage occurs also leads to extending the life of equipment and increases the safety of the work environment.
Parasyn: Your Home for Predictive Analytics Solutions
Parasyn has many years of experience in providing systems to monitor equipment which have led to improved asset performance. Many of these solutions have led to updates and improvements to a variety of the underlying process control system components or the core software configuration. Parasyn works closely with operational staff and data consumers to understand existing performance and establish “trusted data” which is essential to improve operational performance. We help customers create trusted data for better operational performance.
