Articles

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

The Effects of Condition Monitoring on Planning & Forecasting During Supply Chain Uncertainty It is no secret that as business leaders and decision makers, supply chain uncertainty has created increasing and unprecedented challenges for us all in the last fiver years in particular. In an era recovering from a global pandemic, and of growing political … Weiterlesen

In the world of vibration analysis and predictive maintenance, nothing beats hands-on learning, especially when the stakes are high. Whether it’s safety, sales, or support on the line, being equipped with the best tools for the job is the key to winning the day. For CMA and Scott Jones, the integration of the Erbessd Instruments® … Weiterlesen

Predictive maintenance has moved from buzzword to boardroom strategy. Across industries, companies are waking up to the obvious: waiting for equipment to fail is too expensive. Vibration analysis, once niche, is now mainstream. Instead of reacting to failures, companies are using vibration data to anticipate them. Online vibration monitoring systems are quickly replacing scheduled, route-based … Weiterlesen

Introduction: As a predictive maintenance and Industry 4.0 specialist, I have seen how wireless condition monitoring systems can transform the way industries manage their critical assets. The PHANTOM® system by ERBESSD INSTRUMENTS® is one of the most reliable and flexible solutions available today. However, its performance and long-term reliability depend heavily on proper mapping, deployment, … Weiterlesen