Vibration Specialty Corporation : Preventing Machinery Failures Made Easy

Vibration Specialty Corporation : Preventing Machinery Failures Made Easy

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Richard Sherwin  CEO, Vibration Specialty CorporationJeffrey P. McGuckin, VSC of Vibration Specialty Corporation
Industrial manufacturing, a field that solely depends on the reliability of machinery such as motors, pumps, rolls, and compressors, would reach an incorrigible halt if equipment breaks unexpectedly. To avoid this circumstance, the manufacturing arena direly requires identifying machinery problems with industrial vibration monitoring. Realizing the significance of the need, Vibration Specialty Corporation (VSC), a leading predictive maintenance service provider from Philadelphia with over a century of experience preventing machinery failures and unnecessary repairs, provides vibration analysis services and the most advanced predictive and diagnostic technologies.

VSC, coming into existence in 1918, has a rich history of paving the way to the Third Industrial Revolution by inventing the first balancing machine and partnering with industry leaders such as Thomas Edison and Henry Ford. To date, it has not slackened its pace in its spirit for innovation. It continues to contribute to the recent automation-driven Industrial 4.0 by developing a new vibration streaming technology. As in the words of Jeffrey P. McGuckin, the president of Vibration Specialty Corporation, the company has revolutionized the conventional method of vibration analysis that utilized taking several predetermined snapshots of low and high-frequency spectral data and then averaging them together. This method was proven adequate to meet the industry needs of the time but predetermining the data collected is extremely restrictive, limiting the power advanced analytics and artificial intelligence have on the data. VSC developed a new technology of digitally streaming gap-free vibration data at the highest sampling rate. Their approach provides highly precise raw data, approximately 1000x more than the old methods, perfectly prepared for advanced analytics and artificial intelligence. Post collection, they thoroughly scan each dataset’s content to determine where and how to process/filter the data for maximum fault detection. Their superior data also alleviated the challenge of collecting expert data from people with little to no vibration experience. McGuckin remarks on this advantage as, “With our new technology, the collection is still simple for anyone to capture but the data is far superior to anything we ever received, even from experts, with the old technology.”


With our new technology, we can have anyone collect data and still get some of the best data we ever have gotten even with an engineer on site

The power of VSC’s new approach is the fusion of technologies that permits advanced signal-processing techniques, analytics, and filtering of big data so computers can constantly comb the data looking for correlations humans could never detect. McGuckin explains, “The traditional method of averaging masked early-stage bearing problems, because initially, the impacts are low and intermittent allowing them to be lost, whereas, our new technology isolates the energy enabling us to detect bearing problems far earlier.” The company is also progressing to find lubrication problems at the earliest stages, which would help avoid advancing to the stage of a problem that requires repair or progresses to a machine failure. Besides the streaming vibration data, Vibration Specialty Corporation has pioneered a digital twin technology called TruTwin, which turns typical route collection data into a true animation of the machine’s relative bearing movement based on the actual vibration vectors. The company realizes that most people have little understanding of vibration and do not know enough to gauge the problems in their machines. Hence, Vibration Specialty Corporation has turned the complex frequency data into a simple visualization so every client can see their machine’s true motion for easy fault identification.

As to reiterate the applicability of these best-in-class technologies, McGuckin recollects a success story with a chemical company with over 50 pumps at their facility. Using its new friction analysis techniques, it was able to identify a few pumps with almost empty oil levels due to the increase in their friction indicators. McGuckin claims that the solution has been possible only with the new vibration analysis technique of the company, as it provides the ability to intelligently scan through all the data, identify the specific energy bands, which they can dissect to properly identify the problem.

VSC and its partner have developed a massive and growing patent portfolio of over 300 patents on its and other technologies in the IIoT space. Their group is now working with companies interested in partnering with their solutions. Moving ahead, the company is also on the lookout to partner with companies open to a smarter approach to vibration and condition monitoring with an interest in developing the technology even further.

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Top 10 Predictive Maintenance Service Companies - 2021

Company
Vibration Specialty Corporation

Headquarters
Philadelphia, Pennsylvania

Management
Jeffrey P. McGuckin, VSC of Vibration Specialty Corporation

Description
Vibration Specialty Corporation (VSC) is a leading predictive maintenance service provider from Philadelphia with over a century of experience preventing machinery failures and unnecessary repairs through their vibration analysis services and the most advanced predictive and diagnostic technologies. VSC, coming into existence in 1918, has a rich history of paving the way to the Third Industrial Revolution by inventing the first balancing machine and partnering with industry leaders such as Thomas Edison and Henry Ford. To date, it has not slackened its pace in its spirit for innovation. It continues to contribute to the recent automation-driven Industrial 4.0 by developing a new vibration streaming technology. The company has revolutionized the conventional method of vibration analysis that utilized taking several predetermined snapshots of low and high-frequency spectral data and then averaging them together. This method was proven adequate to meet the industry needs of the time but predetermining the data collected is extremely restrictive, limiting the power advanced analytics and artificial intelligence have on the data