Nicole Blanchard 
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 … Lire la suite
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 … Lire la suite
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 … Lire la suite
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 … Lire la suite
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® … Lire la suite
A study using a training solution simulator to detect the presence of known faults using various Erbessd Instruments® data collection technologies. Key Context Elements Machine Type: EI-TSIM4 Training Solution Simulator PRO Known Issues: Various known faults were introduced including defective bearings, gears and setup configurations. Partners Involved: Erbessd Instruments Technical Support Staff Exercise Dates: 04 … Lire la suite
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 … Lire la suite
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, … Lire la suite
SUCCESS STORY – Predictive Monitoring Deployment Company Overview: Founded in the early 1950’s, the company quickly became the world’s leading manufacturer of tubular heating elements and thermostats for water heaters. In the following years, thanks to significant investments in R&D and production capacity, the company diversified by focusing on new business opportunities, becoming a leader … Lire la suite
Women at Work: Grit, Growth & Innovation in Condition Monitoring Across plant floors, control rooms, and boardrooms around the world, the condition monitoring industry is changing–and women are helping lead the charge. The condition monitoring industry is seeing a steady shift as more women step into technical, leadership, and customer-facing roles–brining with them a fresh … Lire la suite
