Human-centric cognitive tool for machine health assessment toward Zero Defect Manufacturing

machinery_breakdown

The radical innovation relies on the sharp break of traditional quality control methods, by a conjunctive engineering approach supported on human-centric approach and hybridization of traditional and machine learning strategies to tackle current technical bottlenecks with a significant change, transforming WS lifecycle health assessment market. Xymbot Digital Solutions S.L. (Xymbot) in collaboration with Centre of […]

How are evolving maintenance solutions into companies Industry 4.0 roadmaps?

maintenance

Ideally, predictive maintenance allows the maintenance frequency to be as low as possible to prevent unplanned reactive maintenance, without incurring costs associated with doing too much preventive maintenance. Predictive maintenance is a technique that uses data analysis tools and techniques to detect anomalies in your operation and possible defects in equipment and processes so you […]

Could SMEs obtain benefits from implementing condition-based monitoring?

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Condition based monitoring (CBM), in general terms, consist in monitoring one or more parameters, from process or machine, in order to identify significant changes with the aim to prevent or avoid failures. CBM is usually part of the predictive maintenance strategy that allows to estimate the real condition of an asset, extracting information from its […]

Are cognitive methods mature enough to achieve the Industry 4.0 ultimate goals?

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Cognitive manufacturing topics start to be trending on industry 4.0 roadmap for organizations as it helps them to improve their fundamental business metrics, including product reliability, safety, quality, productivity while reducing downtime and lowering costs at the same time. A cognitive engine can analyze the symptoms of break down in a machine which can help […]