LORD MicroStrain's cloud-based sensor data platform, SensorCloud, was used to demonstrate terabyte machine vibration data processing for enhanced structural health monitoring.
SensorCloud was used to rapidly plot, navigate, and extract key performance indicators on 100 billion points of time synchronized vibration data. Watch the video. The 1 terabyte dataset was composed of 100kHz machine vibration taken in 1 second bursts every ten minutes and simulated over 19 years. Embedded analytics allowed users to identify vibration frequency deviations in seconds and support long-term condition based maintenance.
Create a free SensorCloud account to interact with this dataset, or upload your own today.
MathEngine® analytical toolkit supported the development and implementation of processing scripts directly on SensorCloud. By plotting a “virtual” peak frequency channel, individual burst anomalies were immediately identified. Fast graphing capabilities enabled drill-down to raw waveform views within seconds.
“Sensors are increasingly generating big data,” says Ben Corneau, Manager of Software Engineering at LORD MicroStrain. “In order to extract actionable information, users need new and powerful data management, visualization, and analytical tools. SensorCloud provides a powerful platform to achieve all three of these capabilities in one place. When applied to real-time sensor networks, MathEngine outputs can be fed directly to the Alerts App for fully customized email and SMS alerting. Any LORD MicroStrain or third party sensing system can leverage SensorCloud to optimize health drive train, gearbox, and structural health monitoring. We’re pleased to help enterprises quickly extract value from big data.”
