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Home / Efficient Predictive Maintenance Programs Focus on Machine Uptime

Efficient Predictive Maintenance Programs Focus on Machine Uptime

The gains achieved in uptime is where predictive maintenance initiatives shine.

Posted: June 15, 2023

Hyster Tracker lowers your overall material handling costs.
The Edge device from MachineMetrics captures machine condition data straight from the control and via external sensors.
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SAFETY

Large amounts of machine downtime occur when maintenance may not be necessary if machines are underused; or if they are overused, there may not be enough maintenance conducted. Predictive maintenance programs help achieve a balance.

Drive Fleet Efficiency with Wireless Telemetry Solution
Hyster Tracker lowers your overall material handling costs.

Hyster Co.’s (Greenville, NC) Hyster Tracker™ is a wireless telemetry solution that gives manufacturers a thorough, real time look into their forklift fleet. This real-time data helps operations reduce avoidable damage, extend truck life, and have a clear view of equipment and operator utilization. Hyster Tracker also helps keep track of service, enabling operations to monitor equipment diagnostics, including engine, transmission, hydraulic and electronic functions. Operations can track maintenance based on custom parameters, which can be especially useful for diverse fleets with different types of equipment that feature a variety of maintenance intervals and service requirements. Over time, the solution’s service history and maintenance forecast can help determine the needs of both individual forklifts and your whole fleet. Access to the solution’s equipment performance data can provide additional insights on when equipment maintenance may be necessary, helping avoid unplanned downtime and boosting fleet uptime and productivity.

www.hystertracker.com

Next Generation of Machine Monitoring and Analytics
The Edge device from MachineMetrics captures machine condition data straight from the control and via external sensors.

Predictive maintenance is an advanced strategy enabling manufacturers to diagnose, predict, avoid equipment failures, and reduces the cost of unplanned downtime. However, acquiring, parsing, and cleaning data can be tedious. Even when tools appear to be working correctly, subtle anomalies in machine load, torque, acceleration, and spindle speed can cause parts to be produced outside of required tolerances. It makes predictive maintenance a challenge.

MachineMetrics (Northhampton, MA) is the next generation of machine monitoring and analytics technology, enabling manufacturers to collect and harness high-frequency machine data in real time. The platform captures machine condition data straight from the control and via external sensors. After the data is transformed it can be utilized through visualized diagnostics displayed in a timeline view, automated notifications and workflows that act on machine conditions, and for building predictive algorithms.

Thousands of machine tools have been connected to MachineMetrics, enabling our team to build algorithms that predict quality defects and extend tool life. A high-frequency adapter detects initial stress fractures in tools and alerts the operator.

www.machinemetrics.com

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