Project aims for 'plug-and-play' PdM for manufacturing SMEs
SamsonVT and RS Components are embarking on an R&D project to produce an affordable machine learning-enabled predictive maintenance (PdM) solution for manufacturing SMEs.
The partnership is supported by Innovate UK, which has awarded a joint R&D grant to support the technology’s development.
The ADX project will focus on the application of anomaly detection for improved maintenance, engineering and decision making – and will see SamsonVT integrate data extraction, criticality assessment, machine learning (ML) and root cause analysis with its existing condition monitoring platform, SamsonBASE.
Sam Burgess, CEO at SamsonVT, a Manchester-based Industry 4.0 technology start-up, said SamsonBASE is currently a one-off bespoke process, and the development of ADX will make the technology a scalable, reusable product capable of using standard manufacturing environment equipment to harvest and process relevant data to detect anomalies within machinery.
“Customers will have access to SamsonBASE’s technology in a new ‘plug-and-play’ style,” he said. “The addition of Criticality Assessment (CA) will enable better decision making to ensure key assets are identified and prioritised for maintenance. Outputs of ADX will feed directly into Root Cause Analysis (RCA) ensuring repeat incidents are reduced and, in some cases, prevented altogether.”
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