MultiSensor AI Holdings, Inc. (NASDAQ: MSAI) ("MultiSensor AI," "MSAI," or the "Company"), a pioneer in early threat detection and condition-based monitoring, today launched Solar Reflection Analysis. The new capability within MSAI's Solar Performance Monitoring helps reliability and maintenance teams at solar-equipped warehouses, distribution facilities, courier networks, data centers and other multi-site environments distinguish thermal alerts likely caused by sun reflection from events that may indicate an electrical or mechanical fault requiring investigation.
Field service is often discussed as a scheduling or workforce-productivity challenge. Organizations invest in mobile applications, dispatch engines, route optimization and digital work orders expecting that faster coordination will automatically produce better outcomes.
The most valuable moment in an electrical thermal imaging survey is not when the image is captured. It is the moment a finding is raised while the panel is still open, the load is still on, and someone with authority is still on site. Miss that window and a finding that could have been actioned that afternoon becomes a line in a document that lands days later, competing for attention with everything else in an inbox.
MentorAPM, an end-to-end asset lifecycle and work management solutions provider and industry leader in AI-powered condition assessments, is expanding its asset intelligence capabilities with thermal imaging through a collaboration with Teledyne FLIR. The integration of the Flir iXX-Series with MentorLens adds thermal data to the condition assessment process, giving asset-intensive organizations another source of information to better understand physical assets and support maintenance, reliability and asset management decisions. The new capabilities will be showcased at the Society for Maintenance & Reliability Professionals (SMRP) annual conference, Sept. 28-Oct. 1 in Raleigh, NC.
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On Reliability Radio, Jonathan Guiney and Brendon Russ talk with Mike Bodon of Aquas about HVAC reliability, coil fouling detection, condition-based maintenance, and AI-powered performance monitoring. Learn how facilities can improve asset reliability, reduce energy waste, and extend equipment life through data-driven maintenance strategies.
The "Data Collection Paradox" One of the most frequent complaints I hear from operator communities in industries ranging from oil and gas to power generation is simple but stinging: "I spend hours recording these readings, but nobody ever looks at them. Why am I doing this?"
Siemens today announced Meet at the Machine, a new initiative designed to bring together machine builders, software and automation technologies to accelerate innovation across the machine tool industry and help manufacturers achieve productivity faster.
In this Reliability Radio interview from TRC 2026, Robert Skerik explains why standard vibration analysis often misses the most critical machinery faults. Learn why high sampling rates are the secret to catching bearing, gear, lubrication, and cavitation failures before they cause unplanned downtime.
In this Reliability Web webinar, Luke Rycelow from Multisensor AI explains why effective condition monitoring requires minimizing detection latency rather than just adding random sensors. Learn how to prioritize asset criticality for better maintenance ROI.
BOSTON, MA — The Call for Papers for The RELIABILITY Conference (TRC) 2027 is now open. TRC 2027 will take place April 19–22, 2027, at Huntington Place in Detroit, Michigan, co-located within Smart Manufacturing Week.
Practitioners, reliability leaders, operations managers, and solution providers are invited to submit abstracts that share field-tested methods, measurable results, and practical strategies for improving asset performance, reducing downtime, and building safer, more sustainable workplaces.
During a routine electrical thermal imaging survey, a distribution board read a maximum surface temperature of 36 degrees Celsius. On a route covering dozens of boards in a shift, a reading like that does not slow you down. It was cooler than the room on a warm day, no gradient worth annotating, no discoloured connection, nothing that earns a second look. If the thermal image were the whole story, that board would have been marked clean and I would have moved on.
Join the Reliability Radio crew and Interloc's Aaron at the 2026 TRC event. They cover Maximo tools like EdgeSync, and explain why best practices arise from experience, not rigid rules. Discover why expert partners are crucial as AI fills the gap left by retiring workers.