Automated Vibration Analysis and Diagnostics

VibroAI extracts actionable insights from your data

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Transform your Predictive Maintenance Program

VibroAI makes data analysis fast and easy for maintenance professionals

Predictive maintenance programs require significant investment in equipment and talent. The part of the program involving vibration measurement and analysis can be particularly challenging. Vibration professionals often spend too much valuable time compiling, cleaning, and analyzing data before actionable insights can be found. VibroAI has automated these tasks with the introduction of VibroAI Analysis and VibroAI Diagnostics.

VibroAI Analysis is a virtual vibration analysis expert, purpose-built to elevate the monitoring of industrial rotating machines. Harnessing advanced algorithms, it transforms complex data into clear, actionable insights, summarized through key indicators that highlight potential machine faults.

VibroAI Diagnostics leverages periodically collected vibration data to keep your machines in peak operating condition. With each new measurement, VibroAI Diagnostics learns operating patterns of your equipment, analyzing evolving faults and identifying subtle data drifts outside normal ranges. It dynamically updates a machine’s health scores and tracks these scores over time, providing real-time insights into performance trends and early warnings of developing issues.


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Services

VibroAI Monitoring:
Advanced Condition Monitoring Services

Many plants have reliable methods for collecting vibration data, but often the analysis of that data lacks the detail and expertise needed to accurately identify and track machine faults. VibroAI Monitoring revolutionizes condition monitoring by delivering precise machine health assessments tailored to specific fault patterns. Early-stage issues often go unnoticed by traditional threshold-based monitoring, but VibroAI Monitoring detects subtle data irregularities that signal emerging problems.

Powered by in-house VibroAI Analysis and VibroAI Diagnostics tools, our engineers are equipped to interpret complex vibration data with accuracy and timeliness. Whether detecting gradual trends or sudden abnormalities, we provide actionable insights and recommendations, enabling proactive maintenance and enhanced reliability for your critical equipment.

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VibroAI Consulting:
Your Partner in Building Condition Monitoring Excellence

Establishing a robust condition monitoring infrastructure can be complex and challenging. It involves evaluating machine criticality, deciding between route-based data collection or permanently placed IoT sensors, selecting the right hardware and software, training personnel, and ensuring a net positive improvement with a clear ROI.

VibroAI Consulting simplifies this process by guiding you through each step. From cutting through the complexities of modern technology to integrating all components seamlessly, we ensure your condition monitoring system is set up for success. Our experts also provide hands-on training for your reliability team and offer ongoing technical support after your project is launched, ensuring sustained operational excellence.

Products

VibroAI Analysis

Developed for reliability and maintenance professionals, VibroAI Analysis simplifies condition monitoring by automating routine tasks and enabling vibration specialists to concentrate on critical challenges. It converts raw vibration data into a collection of KPIs that point to potential machine faults. Automated analysis outputs:

  • Vibration at rotating speed frequency and its integer multiples
  • Non-synchronous frequency components and other driving frequencies
  • Vibration energy at driving frequencies and their harmonics
  • Energy in frequency bands related to the rotating speed frequency
  • Floor noise level and de-noised waveform and spectrum energy
VibroAI Analysis boosts productivity for technicians and engineers involved in routine vibration data collection.
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Contact VibroAI

Mail:

2720 Dundee Road, Suite 105
Northbrook, IL 60062, United States

Call:

+1 847 999 3697
fax +1 847 999 0743