Discover how Artesis leverages ESA, machine learning, digital twins, and Generative AI to deliver expert-level diagnostics instantly, no specialist required. In this webinar, you’ll learn how these technologies work together to automate fault detection, improve reliability, and transform maintenance efficiency through real case examples and a live demo.
Maintenance is more than just fixing what’s broken—it's a strategic discipline that directly impacts uptime, cost efficiency, safety, and asset longevity. With increasing pressure on operational performance, selecting the right maintenance strategy for each asset is no longer optional—it’s essential.
Quick fixes may restore operations temporarily, but they rarely eliminate the real problem behind equipment failures. Root Cause Analysis (RCA) digs deeper to identify and correct the underlying issues, ensuring long-term reliability and preventing repeat breakdowns.
RYAM, a global leader in sustainable cellulose specialties and paper products, partnered with KCF Technologies to implement predictive maintenance using the Machine Health Platform. By shifting from reactive to proactive maintenance, RYAM achieved measurable benefits such as reducing downtime, improving equipment reliability, and cutting maintenance costs while furthering their commitment to sustainability.
Accelerometers with lower mean time between failures (MTBF) values result in higher costs for permanently installed vibration sensor applications - as much as $60 per vibration sensor. By taking the MTBF and manufacturing quality into account when making an accelerometer purchase, you can achieve lower overall program costs.
What is the main purpose of the alarm threshold? It’s just to let us know that something has changed on this descriptor. This doesn’t mean a change in the data itself, but a change in the data distribution…
Alireza Taghizadeh, senior data scientist at B&K Vibro, describes the evolution of AI and machine learning, and the ways it is already changing many aspects of our daily and work lives…
Vibration data is, at its heart, complex. Analysts require many years of experience in both reviewing data and a high level of understanding of the machinery...
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