SenseGrow - AI and Iot Software Platform for Predictive Maintenance and Asset Reliability
Powerful and intelligent features that empowers reliability, maintenance, production and digitization teams to reduce unplanned downtime and increase asset reliability. Don’t guess machine downtime, predict it.alue from your data. Signup for a Free account to get started.
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Details
A new and better way to improve machine reliability
End-to-end enterprise grade security
Features
ioEYE predict acquires machine health data continuously and autonomously from sensors installed on your machine. Data like vibration, acoustics, temperature, etc that provide insights into the machine’s health. Access asset health data from anywhere on the web or mobile app. A truly digital transformation for the smart factory of today.
Analyze overall health trends with velocity, acceleration, energy band trending. Order analysis for identifying defects that occur at multiple of the machine running speed like misalignment, unbalance, etc. Analyze spectrum and waveform data using techniques like demodulation and enveloping to identify bearing, gear and other high-frequency defects.
Machine health data can be enormous and complicated to analyze. ioEYE Predict comes with machine learning and deep learning models that make your task easy. These models predict failure risk, identify anomaly and categorize faults. It helps your maintenance team to identify machines that require attention and focus on them.
Smart alerts over email and mobile to keep your maintenance team informed. Threshold alerts on overall measurements (e.g. velocity) can be configured based on your machine-specific requirements. ioEYE predicts also comes with a machine learning-powered alerts engine that provides actionable alerts based on risk, fault category and anomaly.
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