Background of Predictive Maintenance For decades, predictive maintenance programs have had a cyclical existence at continuous process plants. When budgets tighten or teams reorganize, these programs are often the first to be cut — [...]
This article is intended to help the reader develop an understanding of the concept of phase as it applies to vibration and signal analysis. Simple examples are presented to demonstrate the basics of phase relationships; [...]
This is Part 2 of a two-part series adapted from the original paper “Mobility: A New Approach to Measuring Actual Forces in Machinery” by Alan Friedman & Glenn White. In Part 1, we explored why [...]
By Alan Friedman & Glenn White This is Part 1 of a two-part series adapted from the original paper “Mobility: A New Approach to Measuring Actual Forces in Machinery” by Alan Friedman & Glenn [...]
By Alan Friedman This is Part 2 of our three-part series on linear and non-linear systems in machinery. If you missed Part 1, we introduced the basics of proportionality, superposition, and non-linear responses using [...]
By Alan Friedman This is Part 1 of our three-part series on linear and non-linear systems in machinery. In this first instalment, we’ll introduce the basic concepts and explain why they matter for understanding [...]
By K.C. Dahl, Engineer, Azima Predictive machinery tests and monitoring have evolved significantly, offering a variety of techniques, methodologies, and tools. While many of these tests provide valuable diagnostics for specific machine types, only [...]
Many people in the vibration field prefer to view their spectra using a linear amplitude scale. “The spectra are simpler and easier to read”, they say, without considering the fact [...]
Demodulation — also known as enveloping — is one of the most powerful tools in a vibration analyst’s toolkit, especially when it comes to detecting rolling element bearing and gearbox [...]
Here’s the truth: not all AI maintenance solutions are created equal. We know that 97% of manufacturers will leverage AI to fight back against the high-skilled labor shortage. And we know that AI-powered maintenance [...]
By K.C. Dahl, Engineer, DLI Engineering A common diagnosis issued by the Azima AI-powered diagnostic system is accelerometer overload, which is when a significant ski slope is present in the spectral vibration data. A ski [...]
Through its partnership with Azima DLI, Casa del Rulimán is helping leading companies in Ecuador’s oil & gas, energy, and mining sectors adopt smarter, more efficient maintenance strategies that move teams from reactive repairs [...]
By Alan Friedman, DLI Engineering Corp. Vibration analysis is a powerful tool for diagnosing machine health, but only when measurements are taken under consistent conditions. If test parameters like speed [...]
Have you heard about Xcelerate 2025, the maintenance and reliability conference from Fluke, held this year in Austin, Texas from March 18 – 20? Xcelerate is a chance to deepen your knowledge, network with [...]
“What gets measured gets managed.” This principle, often attributed to management consultant Peter Drucker, has never been more relevant than in today’s data-driven maintenance landscape. Modern condition-based maintenance (CBM) systems generate vast amounts of [...]
We’re excited to announce the agenda for Xcelerate 2025, the maintenance and reliability conference from Fluke Reliability, held this year in Austin, Texas from March 18 - 20! Xcelerate is a chance to deepen [...]