WearVue is an innovative, patent-pending system designed to monitor wear on industrial components visually. Using a simple yet effective colour-coded system (Green, Yellow, Red), it allows operators to assess component condition at a glance without complex diagnostic tools or technical expertise.
WearVue® was inspired by the challenges faced in industries like mining, where inspecting high-risk equipment often required manual labour in hazardous environments. The system was invented by Glenn Brearey and Mat Rigby to address safety risks, simplify wear monitoring, and optimise maintenance schedules. Drawing inspiration from Lean principles like Kanban and Just-In-Time (JIT), WearVue empowers operators with an intuitive tool for proactive maintenance.
WearVue® uses a colour-coded system because colours are a universal language that can be easily understood, even by individuals with minimal technical training. This intuitive approach ensures that wear conditions are quickly and clearly communicated, enabling safer and faster decision-making on-site.
Green: Indicates the component is in good condition and fully operational.
Yellow: Signals that the material has reached a significant wear stage. This allows for just-in-time (JIT) planning, ensuring replacement parts can be ordered and installed without unnecessary downtime.
Red: Denotes critical wear, meaning immediate replacement is required to avoid failure or potential safety risks.
WearVue® revolutionises safety and efficiency by democratising wear analysis through its intuitive use of colour-coded layers. The system eliminates the need for manual inspections in hazardous zones, allowing operators to assess wear from a safe distance. The second wear layer (yellow) can be custom-manufactured to visually align with the lead time required for replacement components, seamlessly integrating with Just-in-Time (JIT) maintenance practices. This precision reduces downtime, extends equipment lifespan, and prevents costly failures, all while making wear analysis accessible to workers of all expertise levels.
VueVision® is the advanced AI-powered platform that seamlessly integrates with WearVue® to enhance wear monitoring and predictive maintenance capabilities. It processes the colour-coded layers from WearVue®’s sensors, transforming visual data into actionable insights. By leveraging machine learning, VueVision® predicts wear trends, identifies potential failures, and recommends optimal maintenance schedules. This integration allows real-time monitoring via dashboards, reduces the need for manual intervention, and extends the functionality of WearVue® by enabling automated, data-driven decisions.
WearVue® is designed to serve industries where wear monitoring and maintenance efficiency are critical. These include:
WearVue®’s versatility and modularity make it adaptable for any industry where proactive maintenance and operational efficiency are priorities.
WearVue® supports ESG goals by enhancing safety, reducing environmental impact, and promoting sustainable practices:
WearVue® is designed for versatility. It can be retrofitted to existing wearing parts, ensuring compatibility with a wide range of equipment. Additionally, it can be seamlessly integrated into new OEM components, offering flexibility for both current operations and future equipment designs.