In the last section we identified the most important vibration analysis tool as the spectrum. When we measure machine vibration we usually measure vibration spectra, since the spectrum of a vibrating component tells us a great deal about the condition of the component as well as about the cause of vibration. Naturally it is vital that the spectrum, which gives such valuable information, be obtained accurately.
What guidelines must be observed to ensure measurements are accurate? How should measurements be taken and for which machines should they be taken?
An attempt has been made to study the vibration level of various machine tools to explore the possibility of establishing the standard vibration level. Till today no vibration standards are available for determining the acceptable vibration level for specific machine tools. However there are some standards available that gives an indication of machinery health based on overall vibration level like ISO 2372 (RMS velocity in the frequency range 10 Hz to 1kHz) and Canadian specifications (RMS velocity in the frequency range 10Hz to 10kHz). But these standards are made for general purpose machinery like pumps, motors, generators and so on. The present study is aimed at establishing the vibration standards for precision machine tools. The machine tools are first segregated and then their vibration data are analyzed for determining the normal vibration level and damage factors (DF). After refining and fixing the vibration standards obtained, they can be used to assess the machinery health.
Downtime in a paper mill or any 24/7 facility is very expensive in maintenance costs, but even more so in the impact to profit because of production loss. In this article we will explain the Shock Pulse Method, why it's a good choice for frontline vibration measurement and show the resulting savings that the Hallsta Mill in Sweden realized from utilizing it as the primary component of its Condition Based Maintenance Program.
Hallsta personnel determined these calculations when they looked at the number of incidents in which they were able to perform maintenance in a planned shutdown, instead of taking the equipment (and production line) down.
Condition monitoring should always start with a list of machine faults, specific for each machine. Only if you know exactly what you expect from the monitoring method, can you apply it efficiently and correctly. Otherwise, there is a danger that you will simply be collecting data. And data is of no use unless it is converted to useful information that you can act upon to realize your true goal of maintaining plant equipment in good working order.
Rotating machinery exhibit specific characteristics when faults create unwanted mechanical motion. For over 70 years Machinery Vibration Analysis has been the main method used to identify many of these faults. Recent experience and research have proven that many of these same faults can be identified using Electrical Signature Analysis (ESA). ESA also provides very important information regarding the condition of the incoming power to the motor, as well as possible electrical faults in the motor system undetectable using MVA. This presentation discusses the faults that are identified and how they present themselves in both the Vibration spectrum and the Electrical spectrum. ESA is emerging as a very important part of a plant's Electrical predictive maintenance program. In some plants it is being used as the main detection tool used to identify both electrical and mechanical problems on machines which are driven by electric motors.
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An excerpt from the book Vibration Spectrum Analysis by Steve Goldman P.E.
This author has spent many years lecturing to different groups of people who were interested in spectrum analysis for problems ranging from detailed physical tests of cavitation phenomena to philosophical questions about why the walls of Jericho Fell. Often, a very simple explanation involving pulse theory has sufficed to explain some of the observed phenomena. This excerpt is designed to give the reader food for thought rather than quantitative answers.
In recent years there has been a resurgence in the use of time waveform analysis techniques. Condition monitoring personnel have now come to realize some of the limitations of the FFT process. Since many find the time waveform analysis process difficult and confusing the technique is rarely used to its full potential. The key to the successful utilization of time waveform data is knowing when to use it. This paper examines the limitations of the FFT process and identifies specific applications where enhancing FFT information with time waveform analysis is appropriate.
The paper also details in practical terms how to set up, acquire and manipulate time waveform data. Having discussed the acquisition of the data the paper continues to discuss the interpretation of the data including the time-frequency relationship, symmetry, and pattern recognition of common faults.
You are taking vibration data on all of your critical assets and also all essential assets. Yet, you still feel overwhelmed and some assets are stretched beyond their data collection interval.
Meggitt Sensing Systems, a Meggitt group division, has announced the new product launch of the Endevco model 35A, the world’s smallest ISOTRON (IEPE-type) triaxial accelerometer with integral electronics, designed for high-precision vibration measurements in three orthogonal axes on very small objects.
Commtest has been awarded a 5 year United States General Services Administration (GSA) contract GS-07F-0471W and is now listed on GSA’s Schedule 66 under Special Identification Number (SIN) 602-30 as a Small Business entity.
Using brand new 3D animations, we will explore the physical motion associated with misalignment and explain why we see the characteristic vibration patterns that are common when machines are misaligned.
We will also discuss why misalignment is so often misdiagnosed. We will introduce phase analysis, and demonstrate how two channel analyzers make phase analysis very easy to perform, and how it helps us to accurately diagnose misalignment.
1) How does the vibration pattern change when machines are misaligned
Belt drives can cause many strange looking spectra. To analyze and troubleshoot belt drives it is imperative to have a high resolution analyzer. I use one with 3200 lines of FFT. To those still using 400 lines that might seem like overkill. This paper, though, will show the necessity of high resolution when troubleshooting many vibration problems.
In today’s difficult business conditions, it is more important than ever to know how your recycling plant is performing. It is also vital to avoid sudden expensive breakdowns, and to keep plant downtime to a minimum. This is particularly difficult in the scrap auto recycling industry, where all the machinery must be capable of handling large vehicles with a high throughput; the machinery takes a battering, and sooner or later it must be maintained or it will break down. While it is possible to build some redundancy into an operation – such as having spare scrap handling cranes – there is often only one shredding machine at the heart of an auto shredding plant. If the shredder is working well, then the plant is productive; and if the shredder is not working, then the plant is inoperative.
Panama Canal Authority Utilizes Azima DLI’s DCX Vibration Data Collector and Diagnostic Software to Increase Uptime of Equipment Critical to Lock Movement
Azima DLI, the leader and premier provider of predictive machine condition monitoring and analysis services, today announced that its advanced vibration monitoring capabilities will be used by the Panama Canal Authority (ACP) to achieve important equipment reliability and uptime goals associated with the operation of its lock system. The ACP is the autonomous agency of the Government of Panama in charge of managing, operating and maintaining the Panama Canal.
I would like to share with everyone an instance that came up with my partner and I during a time we were setting up a data base and rounds on critical machinery for monitoring at a large and
Defects occur at specific frequencies in relationship to the running speed of the equipment. Most vibration analysis software will allow these specific frequencies (bands) to be measured and
Almost all vibration data collectors, analyzers or software have an option to select the "window type" to use for a particular measurement. In short, when sampling and digitizing vibration data,
"Vibration analysis" is commonly used to assess bearing condition however, although the vibration data can appear ok, there are other conditions which can exist or be unknowingly created to open the door for potential failure.
I am referring to bearing lubrication. This is an area where although, information by the bucket full can be easily obtained, Practicing the art of proper bearing lubrication tends to be ignored, not practiced or severely misunderstood. Usually, one step in a PM requires maintenance personnel to grease the bearings. This practice has become acceptable because we all know what happens when there is not enough grease so...we apply the old rule of thumb that is; "better to have too much grease than not enough" right? The problem is... we really aren't sure how many times or the last time a bearing on a particular machine got greased. It has been said over and over again that over greasing can cause more damage. Unless some system has been put into place to record the greasing activity, we can never be 100% sure. I will demonstrate through the use of infrared technology what the outcome will be if over lubrication happens.
The ability of continuous vibration monitoring to provide early detection of potential bearing problems in rotating equipment allows users to plan maintenance work in advance. This maximizes uptime by minimizing the impact of costly machine break downs.