Humaware
www.humaware.comHumaware’s pioneering Prognostics Gateway™ is a suite of tools that turns condition monitoring data into actionable information for predictive and agile maintenance. This enables real time data to be converted to intelligent information for agile maintenance across a range of industrial applications such as aerospace, rail, marine and petrol/chemical. The toolset consists of the following: CFAR-Autotrend –Is a breakthrough automatic, alert detection technology that detects events, rather than levels. This means that organisations have the earliest possible detection of a defect to provide the opportunity to optimise maintenance interventions. The tool reduces the reams of CM data to actionable data, with a low false alert rate of better than 1 in 1,000,000 resulting in the work load becoming a function of the number of defects in the assets not the number on assets being monitored. Unified Prognostics Model - Provides a risk based Remaining Useful Life of each asset. Maintenance Demand Forecaster - Processes the Remaining Useful Life data to determine the optimum maintenance intervention with the minimum operational disruption to enable maintenance/network managers to manage the network in an agile manner. This means providing information so that level scheduling can be achieved; ordering and delivering parts so that they are available when required, dynamic depth of maintenance and for possibly reducing scheduled maintenance in the future. These three tools are available as a suite or individually to embed in your CBM system as required to meet your business objectives. Contact us for more details.
Read moreHumaware’s pioneering Prognostics Gateway™ is a suite of tools that turns condition monitoring data into actionable information for predictive and agile maintenance. This enables real time data to be converted to intelligent information for agile maintenance across a range of industrial applications such as aerospace, rail, marine and petrol/chemical. The toolset consists of the following: CFAR-Autotrend –Is a breakthrough automatic, alert detection technology that detects events, rather than levels. This means that organisations have the earliest possible detection of a defect to provide the opportunity to optimise maintenance interventions. The tool reduces the reams of CM data to actionable data, with a low false alert rate of better than 1 in 1,000,000 resulting in the work load becoming a function of the number of defects in the assets not the number on assets being monitored. Unified Prognostics Model - Provides a risk based Remaining Useful Life of each asset. Maintenance Demand Forecaster - Processes the Remaining Useful Life data to determine the optimum maintenance intervention with the minimum operational disruption to enable maintenance/network managers to manage the network in an agile manner. This means providing information so that level scheduling can be achieved; ordering and delivering parts so that they are available when required, dynamic depth of maintenance and for possibly reducing scheduled maintenance in the future. These three tools are available as a suite or individually to embed in your CBM system as required to meet your business objectives. Contact us for more details.
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City (Headquarters)
London
Industry
Employees
1-10
Founded
2001
Estimated Revenue
$1 to $1,000,000
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Managing Director
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