Reduce Unplanned Downtime with our Predictive Maintenance Solution
Improve Machine health with our latest AI/ML technology embedded with actionable insights.
Maintaining Machine Health with Advanced AI
With the advent of Industry 4.0, predictive maintenance has gained huge popularity in maintaining machine health. Predictive maintenance is aimed at reducing costly and unplanned downtimes and offers organizations the ability to plan maintenance schedules in advance for increased efficiency.
According to McKinsey, predictive maintenance typically reduces machine downtime by 30% to 50% and increases machine life by 20% to 40%.
VIBit is an intelligent, powerful, and compact sensor that monitors the condition of machines or equipment and predicts their failures in advance using the latest AI/ML technologies to avoid unplanned downtime, saving time and money for the owners.
Powerful Features
Multiple Parameters
Measures triaxial vibration, acceleration, velocity, temperature and noise.
Dashboard Analysis
Single dashboard to understand the overall equipment efficiency of assets in waveforms.
Real Time
Provide data in real time to check various parameters and assess the machine health.
Plug & Play
Plug the device on machines and get data on an immediate basis.
Advanced AI/ML Model
Various faults detected using the latest AI/ML Technologies.
Wired & Wireless Connectivity
Provision to connect the device in both Wi-Fi & RS-485 and send data to edge device or to cloud via Bluetooth.
Machine Anomaly Detection and Diagnostics Solution
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 historical 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.
Real-Time Status & Vibration Parameters
Visualize the real time status of different vibration parameters. Real time status is shown along with a 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. A color-coded scale and side by side display of real time status of tri-axial vibrations helps in proactive decision making.
Tri-axial FFTs & Historical Analysis
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 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.
Key Benefits
Decrease Downtime
Help reduces unplanned downtime by predicting failures in advances.
Eliminates Human Error
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.
Reduced Service Costs
Reduce service costs by planning well in advance and not needing to store multiple parts unnecessarily.
Improved Safety
Predict failures in advance helps the organizations to take action and make sure the machines are working in an optimal and efficient manner.
Success in action
See how leaders leverage IoTBlitz energy platforms
Automotive Manufacturing Plant
By identifying phantom loads running overnight, the plant successfully decreased total energy expenditure by 18% within the first 3 months.
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Modern Textile Mills Mega-Corp
Achieved predictive maintenance on massive weaving motors via harmonic tracking, averting a $300,000 catastrophic halt.
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Hyperscale Cloud Data Center
Optimized PUE by precisely monitoring HVAC loads relative to server cluster demands across seasons.
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Our team of energy and data experts are ready to evaluate your needs. We'll design a proof-of-concept specific to your most energy-intensive branches.
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