EPISODE · Jul 17, 2026 · 34 MIN
Ep 78. Predicting Train Failures Before They Happen
from Rail Technology Magazine Podcast
In the latest episode of our podcast, we take a thrilling journey into the world of rail technology with Jenny Hudson and Professor Jarek Rosinskii from Transmission Dynamics. This episode showcases the innovative strides being made in predictive maintenance within the rail industry.Jenny Hudson, shares her fascinating career journey that led her to Transmission Dynamics. With over 15 years of experience supporting SMEs through innovation, Jenny found her calling in a company that exemplifies cutting-edge technology and commercial impact. Her passion for the industry is palpable, and it’s clear that she is committed to making a difference.Professor Jarek Rosinski, the founder and Executive Chairman, adds depth to the conversation with his academic background and practical experience. He reflects on the gradual process of innovation that led to the establishment of Transmission Dynamics, emphasising that the journey has been one of continuous learning and adaptation.One of the highlights of our discussion is their flagship product, which represents a significant leap in asset management for the rail sector. This smart sensing solution is designed to monitor pantographs and overhead lines, providing real-time data that allows for predictive maintenance. With over 100 systems deployed globally, Pandas is revolutionising how the rail industry approaches fault detection and prevention.The conversation takes a deeper dive into the technology behind the product which features advanced cameras and edge processing capabilities. This allows for instant fault detection, meaning that potential issues can be addressed before they escalate into serious problems. The impact of this technology is already being felt, with significant cost savings and enhanced safety reported by clients like Network Rail.As we explore the implications of AI in the rail sector, both Jenny and Jarek stress the importance of data-driven solutions. The ability to predict and prevent faults not only improves operational efficiency but also enhances safety for both passengers and infrastructure.With a focus on the future, our guests discuss the potential for expanding these innovations beyond passenger trains to freight trains, highlighting the vast opportunities that lie ahead. The railway industry is on the cusp of a technological revolution, and the insights shared in this episode are a testament to the exciting developments underway.Listen to this episode for an engaging discussion that sheds light on the complexities and innovations shaping the future of rail technology. Whether you're an industry professional or simply curious about technological advancements, this episode is not to be missed! Hosted on Acast. See acast.com/privacy for more information.
What this episode covers
In the latest episode of our podcast, we take a thrilling journey into the world of rail technology with Jenny Hudson and Professor Jarek Rosinskii from Transmission Dynamics. This episode showcases the innovative strides being made in predictive maintenance within the rail industry.Jenny Hudson, shares her fascinating career journey that led her to Transmission Dynamics. With over 15 years of experience supporting SMEs through innovation, Jenny found her calling in a company that exemplifies cutting-edge technology and commercial impact. Her passion for the industry is palpable, and it’s clear that she is committed to making a difference.Professor Jarek Rosinski, the founder and Executive Chairman, adds depth to the conversation with his academic background and practical experience. He reflects on the gradual process of innovation that led to the establishment of Transmission Dynamics, emphasising that the journey has been one of continuous learning and adaptation.One of the highlights of our discussion is their flagship product, which represents a significant leap in asset management for the rail sector. This smart sensing solution is designed to monitor pantographs and overhead lines, providing real-time data that allows for predictive maintenance. With over 100 systems deployed globally, Pandas is revolutionising how the rail industry approaches fault detection and prevention.The conversation takes a deeper dive into the technology behind the product which features advanced cameras and edge processing capabilities. This allows for instant fault detection, meaning that potential issues can be addressed before they escalate into serious problems. The impact of this technology is already being felt, with significant cost savings and enhanced safety reported by clients like Network Rail.As we explore the implications of AI in the rail sector, both Jenny and Jarek stress the importance of data-driven solutions. The ability to predict and prevent faults not only improves operational efficiency but also enhances safety for both passengers and infrastructure.With a focus on the future, our guests discuss the potential for expanding these innovations beyond passenger trains to freight trains, highlighting the vast opportunities that lie ahead. The railway industry is on the cusp of a technological revolution, and the insights shared in this episode are a testament to the exciting developments underway.Listen to this episode for an engaging discussion that sheds light on the complexities and innovations shaping the future of rail technology. Whether you're an industry professional or simply curious about technological advancements, this episode is not to be missed! Hosted on Acast. See acast.com/privacy for more information.
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Ep 78. Predicting Train Failures Before They Happen
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