The manufacturing sector is now utilising artificial intelligence (AI) to predict machinery breakdowns, promising significant benefits despite potential challenges.
By transitioning from reactive maintenance to predictive maintenance, manufacturers can avert disruptions in their output levels and prevent issues from escalating down the production line. Nevertheless, excessive maintenance without genuine predictive capabilities may cause unwarranted downtime and increased costs.
Predictive maintenance offers a balanced approach, addressing potential issues before equipment failure without the expense of over-maintenance. According to Kevin Bull, Product Strategy Director, predictive maintenance identifies and resolves problems preemptively, thus avoiding the costs associated with emergency repairs or unnecessary upkeep.
Deployments of the Industrial Internet of Things (IIoT) enhance this predictive maintenance. Sensors embedded in the machinery monitor parameters like temperature, vibration, and humidity, generating extensive real-time data. Once uploaded to a cloud-based system, this data is analysed to assess equipment status, efficiency, and component health.
Kevin Bull further explains that AI and machine learning drive predictive maintenance forward. Analysing the vast data from plant floors, these technologies filter out anomalies, uncover hidden patterns, and more accurately estimate equipment reliability, allowing maintenance schedules to adapt accordingly.
Moreover, advanced data analytics are instrumental in pinpointing initial issues when new, fully digitised equipment and systems are deployed. Evaluating the impact of new technologies on existing processes helps businesses safeguard against future digital disruptions and manage the integration of innovative technologies.
When effectively utilised, these disruptive technologies can offer substantial benefits across the manufacturing spectrum, from shop floor operations to customer service and delivery models.
Harnessing AI for predictive maintenance in manufacturing holds the promise of increased efficiency and reduced costs. Leveraging advanced technologies is vital for future-proofing businesses against digital disruptions.
