IVM srl - Innovative Vibration Monitoring

www.ivmtech.it

IVM - Innovative Vibration Monitoring is an innovative SME focused on the development of end-to-end monitoring and diagnostics systems relating mainly to wheel/rail interaction in both static and dynamic conditions. IVM’s goal is to increase the frequency of inspection measurements. IVM’s systems are able to deliver reproducible results, a key prerequisite for evaluating degradations, unlocking reliable predictive and condition-based maintenance approaches. IVM believes that developing the measurement chain as a whole is the most reliable way of implementing measurement systems with optimum performance in order to achieve reliable results. Following a detailed analysis of the relevant physical phenomena, IVM develops the entire measurement chain of each monitoring solution, encompassing sensors, acquisition systems, electronics, software/firmware, production and testing and commissioning. In addition to accurate and reliable measurement systems, IVM has also developed data analysis algorithms and is currently developing cloud infrastructure using modern big data technologies and machine learning techniques to enable 4.0 predictive maintenance. All IVM applications are developed by highly skilled resources thanks to the investment of more than 40% of annual turnover in R&D activities. IVM’s main challenge is unlocking the power of digitalization applied to reliable and reproducible measurements performed in the specific field of the wheel/rail interface, in real working conditions, in order to obtain usable information rather than just data. IVM has received outstanding awards in the railway industry, including the first prize in the safety category directly by UIC, during the UIC Digital Awards 2020, with the project: Digital Railway Optimisation on Wheel/Rail Interaction - Enabling 4.0 Predictive Maintenance More info at: https://uic.org/com/enews/article/uic-is-pleased-to-introduce-the-winners-and-the-startups-in-second-place-at-the?page=modal_enews

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IVM - Innovative Vibration Monitoring is an innovative SME focused on the development of end-to-end monitoring and diagnostics systems relating mainly to wheel/rail interaction in both static and dynamic conditions. IVM’s goal is to increase the frequency of inspection measurements. IVM’s systems are able to deliver reproducible results, a key prerequisite for evaluating degradations, unlocking reliable predictive and condition-based maintenance approaches. IVM believes that developing the measurement chain as a whole is the most reliable way of implementing measurement systems with optimum performance in order to achieve reliable results. Following a detailed analysis of the relevant physical phenomena, IVM develops the entire measurement chain of each monitoring solution, encompassing sensors, acquisition systems, electronics, software/firmware, production and testing and commissioning. In addition to accurate and reliable measurement systems, IVM has also developed data analysis algorithms and is currently developing cloud infrastructure using modern big data technologies and machine learning techniques to enable 4.0 predictive maintenance. All IVM applications are developed by highly skilled resources thanks to the investment of more than 40% of annual turnover in R&D activities. IVM’s main challenge is unlocking the power of digitalization applied to reliable and reproducible measurements performed in the specific field of the wheel/rail interface, in real working conditions, in order to obtain usable information rather than just data. IVM has received outstanding awards in the railway industry, including the first prize in the safety category directly by UIC, during the UIC Digital Awards 2020, with the project: Digital Railway Optimisation on Wheel/Rail Interaction - Enabling 4.0 Predictive Maintenance More info at: https://uic.org/com/enews/article/uic-is-pleased-to-introduce-the-winners-and-the-startups-in-second-place-at-the?page=modal_enews

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Country

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City (Headquarters)

Naples

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Employees

11-50

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Founded

2014

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Social

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  • Software Engineer

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