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Tignis Mechanical Asset Performance Management

by Tignis, Inc.

Fault detection and diagnosis for connected systems powered by novel physics-driven machine learning

Tignis provides an Azure-based SaaS solution, leveraging machine learning and Digital Twin technologies, to monitor, understand, and diagnose connected industrial and manufacturing systems. Tignis mAPM enables cross device platform visibility and analysis of potentially vast amounts of data without requiring the customer to install new or additional sensors. Tignis’ unique physics-driven machine learning yields earlier and more accurate fault detection detection, and mAPM’s rich digital twin user experience accelerates diagnosis. By leveraging both the historical and current IIoT sensor data available in the environment, Tignis enables the monitoring of physical industrial and manufacturing assets, processes and operations

Tignis’ new approach to reliability combines physics-driven monitoring, digital twin technology and advanced analytics (AI/ML) to enable the monitoring of these complex systems for customers in Manufacturing, Semiconductors, Pharma, HVACR, Oil and Gas and more. Benefits include, improved asset uptime, improved reliability and availability of assets, risk mitigation and increased safety, increased asset longevity, reduction of maintenance costs, improved energy efficiency, rapid results/time to value, reduction of unplanned downtime, faster root cause analysis (RCA), advanced notice of potential failures, precise recommendations and more reliable/accurate fault detection and reduction in false positives (or "noise" in the data).

At a glance

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