Nicole Blanchard 
Better Together: How Route Collection and Online Monitoring Helped Prevent a Paper Mill Shutdown A Familiar Problem Returns Using routine route collection data, we identified a concerning trend: a replacement press roll installed only a month earlier was beginning to show the same failure indicators as the roll it had replaced. The trend suggested the … Weiterlesen
Enhancing Data Collection Reliability Through Improved Network Architecture Reliable network connectivity is a critical requirement for PHANTOM® sensor data collection, and even brief interruptions in communication from a PHANTOM® Gateway 2.0 can compromise the integrity of the dataset. When links drop, measurements can be missed, reporting can be delayed, and trends can become harder to … Weiterlesen
Why One Signal Isn’t Enough — The Case for Multi-Modal Monitoring If you’ve ever walked a plant floor and thought, “Something’s off—but I can’t prove it yet,” you already understand the core problem with single-mode monitoring. You’re not missing experience.You’re missing visibility. Most condition monitoring programs still rely heavily on one primary signal—typically vibration. And … Weiterlesen
Closing the Gap: How Gen 4 Wireless Vibration Sensors Now Rival IEPE Performance For decades, industrial vibration analysis has relied on one benchmark: the performance of hardwired IEPE accelerometers. Their dominance hasn’t been accidental–it’s rooted in physics, signal integrity, and proven reliability in demanding environments. Low noise floors, wide dynamic range, and broad frequency response … Weiterlesen
Wireless vibration sensors and machine learning revealed hidden resonance during compressor startup, enabling data-driven reliability improvements. Customer Profile The customer is a major food supermarket chain that operates several large logistics centers for product processing and distribution. This success story takes place at one of these centers, dedicated to the storage and processing of fresh … Weiterlesen
WaaS / SaaS Wireless Sensor Discussion For decades, vibration analysis and machine health analysis has followed a proven and effective model. Sensors were permanently mounted, wired to junction boxes, and data was collected either continuously or through route-based periodic inspections based on asset criticality. These programs were managed internally or through third-party vibration service providers … Weiterlesen
There’s something every maintenance engineer learns, sometimes the hard way: Machines almost never fail suddenly. They always give warning. The problem is that we’re not always listening. And that’s precisely where the issue of early fault detection using wireless condition monitoring sensors comes in–a strategy that no longer sounds futuristic, but rather quite practical. One of … Weiterlesen
When we set out to design Phantom Max, the objective was not to create a larger or more powerful version of an existing product. At ERBESSD INSTRUMENTS, our product development always starts with a more fundamental question: What problem are our customers trying to solve, and what is preventing them from solving it today? Phantom Max … Weiterlesen
In condition monitoring and predictive maintenance, vibration analysis is one of the most powerful tools for detecting mechanical faults early. However, technicians and reliability engineers often encounter unexpected challenges, that is two vibration analyzers measuring the same machine under similar conditions can report noticeably different values. These discrepancies can generate confusion, misdiagnosis, or mistrust in … Weiterlesen
In the world of predictive maintenance and condition monitoring, we often focus on vibration, oil-analysis, alignment and similar tools. But one domain that remains under-leveraged–yet critical–is thermal imaging, especially when working around high-risk machinery, electrical panels, or industrial assets in harsh, dangerous environments. As an organization who prides itself on offering a full suite of … Weiterlesen
