Improve Machine health with our latest AI/ML technology embedded with actionable insights
With the advent of Industry 4.0, predictive maintenance has gained huge popularity in maintaining the machine health. Predictive maintenance is aimed at reducing costly and unplanned downtimes and offers the organizations to plan maintenance schedules in advance for increased efficiency. According to McKinsey, predictive maintenance typically reduces machine downtime by 30% to 50% and increase machine life by 20% to 40%.
CIMCON Digital’s VIBit is an intelligent, powerful and compact sensor that monitors the conditions of machines or equipment’s and predict their failures in advance using the latest AI/ML Technologies to avoid unplanned downtime saving time and money for the owners
Measures triaxial vibration, acceleration, velocity, temperature and noise
Single dashboard to understand the overall equipment efficiency of assets in waveforms
Provide data in real time to check various parameters and assess the machine health
Plug the device on machines and get data on immediate basis
Various faults detected using the latest AI/ML Technologies
Provision to connect the device in both Wi-Fi & RS-485 and send data to edge device or to cloud via Bluetooth
Our Cloud-based Health Management platform is a powerful tool in reducing maintenance spending and increasing Mean Time Between Repairs (MTBR) by proactively identifying detrimental system conditions prior to catastrophic machine failure by using an Artificial Intelligence/Machine Learning (AI/ML) model to provide FFT graph analysis, asset health monitoring, real-time data, and historial data. It provides a dashboard which helps you understand the overall equipment efficiency of assets in the form of waveforms. This further reduces unplanned downtime, increases equipment availability, and significantly reduces inventory costs.
Visualize the real time status of different vibration parameters. Real time status is shown along with color coded scale based on pre-configured threshold limits. This helps in quick identification of within range or high vibrations. One can also easily co-relate real time status with configured limits. Color coded scale and side by side display of real time status of tri-axial vibrations, helps in proactive decision making.
Use tri-axial FFTs (Fast Fourier Transforms) to easily identify the cause and location of the vibration. Easily view changes in frequency and amplitude in a waveform and highlight harmonic excitation in a broad frequency range. Pre calculated Overall, VRMS (Velocity Root Mean Square), Min, Mean, Max, etc. helps in quick and better analysis.
See the history of equipment state and the times when FFTs (Fast Fourier Transforms) are generated. Easily derive various KPIs such as MTBF (Mean Time Between Failures), MTTF (Mean Time To Failure) based on this information. User selectable time period helps in analysis based on any time range.
Help reduces unplanned downtime by predicting failures in advances
Analyzing large volumes of data manually is very difficult. VIBit keeps a close watch on all your assets and analyzes the data 24 X 7
Reduce service costs by planning well in advance and not needing to store multiple parts unnecessarily
Predict failures in advance helps the organizations to take action and make sure the machines are working in an optimal and efficient manner
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