Periodic and Continuous Vibration Monitoring for Preventive/Predictive Maintenance of Rotating Machinery

1987 ◽  
Vol 109 (2) ◽  
pp. 159-167 ◽  
Author(s):  
W. C. Laws ◽  
A. Muszynska

The application of vibration monitoring as part of Preventive/Predictive Maintenance programs is discussed. Several alternative methods, including periodic and continuous monitoring techniques, are described. Emphasis is given to the importance of selecting vibration transducers with due regard for the specific machinery type. The equally important need to install monitoring systems which are cost effective and provide genuinely useful information for maintenance engineers and vibration analysts is also highlighted. It is argued that critical machinery should be monitored continuously, and in cases when more detailed investigation is required that high-quality Predictive Maintenance vibration analysis techniques be applied. The need is also emphasized for specialist interpretation of vibration data in order to identify specific machinery malfunctions, of which several examples are given.

1984 ◽  
Vol 106 (4) ◽  
pp. 935-939
Author(s):  
H. A. Kidd

The continued use of gas turbines in industrial applications and increased customer desires for trend analysis has led gas turbine suppliers to develop sophisticated, reliable, cost-effective vibration monitoring systems. This paper discusses the application of case vibration monitoring systems and the design criteria for each component. Engine installation, transducer mounting brackets, types of transducers, interconnecting cables and connectors, charge amplifiers, and signal conditioning and monitoring are considered. Examples are given of the benefits experienced with the final system in several of Dresser Clark’s engine development programs, by manufacturing and production testing, and by Dresser’s field service staff.


Author(s):  
Irem Y. Tumer ◽  
Edward M. Huff

Abstract Typical vibration monitoring systems for helicopter gearboxes rely on single-axis accelerometer data. This paper investigates whether triaxial accelerometers can provide crucial flight regime information for helicopter gearbox monitoring systems. The frequency content of the three different directions is compared and analyzed using time-synchronously averaged vibration data. The triaxial data are decorrelated using a mathematical transformation, and compared to the original axes to determine their optimality. The benefits of using triaxial data for vibration monitoring and diagnostics are explored by analyzing the changes in the direction of the principal axis of vibration formed using all three axes of vibration. The statistical variation introduced due to the experimental variables is further analyzed using an Analysis of Variance approach to determine the effect of each variable on the overall signature. The results indicate that triaxial accelerometers can provide additional information about the frequency content of helicopter gearbox vibrations, providing researchers and industry with a novel method of capturing and monitoring changes in the baseline vibration signatures.


Author(s):  
Robert A. Leishear ◽  
David B. Stefanko ◽  
Jerald D. Newton

Vibration due to a bearing failure in a pump created significant vibrations in a fifteen foot by fifteen foot by eight feet tall mounting platform due to excitation of resonant frequencies. In this particular application, an 18,000 pound pump was mounted to a structural steel platform. When bearing damage commenced, the platform vibrated with sufficient magnitude that conversations could not be heard within forty feet of the pump. Vibration analysis determined that the frequency of the bearing was coincident to one of the natural frequencies of the pump, which was, in turn, coincident to one of the natural frequencies of the mounting platform. This coincidence of frequencies defines resonance. Resonance creates excessive vibrations when the natural frequency of a structure is coincident to an excitation frequency. In this well documented case, the excitation frequency was related to ball bearing failures. The pump is a forty foot long vertical pump used to mix nuclear waste in 1,300,000 gallon tanks. A 300 horsepower drive motor is mounted to a structural steel platform on top of the tank. The pump hangs down into the tank from above to mix the waste and is inaccessible after installation. Initial awareness of the problem was due to increased noise from the pump. Initial vibration analysis indicated that the vibration levels of the bearing were within the expected range for this type of bearing, and the resonant condition was not obvious. Further analysis consisted of disassembly of the motor to inspect the bearings and extensive vibration monitoring. Vibration data for the bearings was obtained from the manufacturer and compared to measured vibration plots for the pump and mounting platform. Vibration data measured along the length of the pump was available from full scale testing, and vibrations were also measured at the installed pump. One of the axial frequencies of the pump, the platform frequency in the vertical direction, and the ball spin frequency for the bearing were multiples of each other. This resonant condition was detected before other damage occurred, and further damage due to the resonant condition was prevented through vibration analysis.


Author(s):  
Maris Hauka ◽  
Vitālijs Pavelko ◽  
Ilmars Blumbergs ◽  
Raivis Kubulins

The goal of this article is to solve problems of automated monitoring systems of industrial and aviation constructions. Based on the latest research results, the most cost-effective solutions are covered, and a practical solution is offered. This article is part of the scientific project “Development of an integrated sensor system for material and structure monitoring”. The article describes the problem and suggests a practical solution for an integrated sensor system for material and structure monitoring prototype. 


2020 ◽  
Vol 10 (86) ◽  
Author(s):  
Kristina Rud ◽  
◽  
Ihor Polishсhuk ◽  

Currently, manufacturers and operating organizations seek to operate gas turbine engines (GTE) as part of gas pumping stations from their technical condition. This allows you to reduce the cost of operation, increase the service life, reduce labor costs for maintenance, timely repair. Of great importance in this regard is the equipment of units with modern systems that allow you to diagnose the technical condition in the process of their work, among which a special place is occupied by vibration diagnostics with modern means of analog and digital computers. Unlike aircraft engines, turbine units of gas pumping stations are an object where vibration diagnostics can be implemented in its entirety. This is due to the operation of turbines in almost the same modes for a long time, which allows you to organize the so-called trend control of any feature or set of them used for diagnostic purposes. In some industries, maintenance is the second largest or even the largest element of operating costs and thus becomes a priority for cost control. Equipment failure affects not only the availability of the installation, but also the safety, environment and product quality. It can also affect customer service in terms of missed deadlines and loss of trust. The complexity and cost of modern installations and equipment means that monitoring the condition of installations is now a much more cost-effective option. Although many industries still respond to maintenance because there are no advanced costs, they pay a price due to increased downtime or loss of production. Vibration monitoring is still perhaps the most widely used method of predictive maintenance and, according to a rare with the exception, it can be applied to a wide range of rotating equipment. Vibration monitoring allows you to determine the condition of the equipment during its operation and to identify those elements that begin to show signs of wear before they really fail, sometimes catastrophically. With this approach, unplanned downtimes are reduced or eliminated, which increases the availability and efficiency of the installation and reduces costs in addition to an experienced vibration analyzer. However, in the case of rolling bearings, the characteristic vibrating signatures are often formed in the form of modulation of the basic frequencies of the bearings. This can be used to advantage, and vibration control software is often designed to detect these characteristics and provide early warning of an approaching problem. This usually takes the form of a demodulation of the signal and the envelope spectrum, indicating early deterioration of the rolling / sliding surface of the contact surfaces.


2004 ◽  
Vol 126 (05) ◽  
pp. 36-41
Author(s):  
Paul Sharke,

This article focuses on the concept of predictive maintenance (PdM) and its use in the manufacturing industry. Predictive maintenance is an umbrella term covering techniques such as vibration analysis, lube oil evaluation, and thermography. Despite the progress in automation, communication, and data manipulation that has allowed PdM companies to monitor tons of machines efficiently and accurately, the technology has not displaced people from the picture altogether. Companies are finding it more cost-effective to funnel the data to the experts instead of maintaining their own experts on site. The turbine generator at the University of North Carolina co-generation plant in Chapel Hill provides electricity to the campus and hospital. At the highest level, where a machine’ failure could severely affect a plant’s safety, environment, or profit, a full arsenal of PdM weapons, including periodic or continuous vibration monitoring, lube oil analysis, and infrared thermography, would keep its eyes on things. In another example discussed in the article, a reliability-centered approach aligns a plant’s business objectives and maintenance strategy to decide upon the best way to monitor assets.


2021 ◽  
Vol 2021 ◽  
pp. 1-25
Author(s):  
Mohamad Hazwan Mohd Ghazali ◽  
Wan Rahiman

Untimely machinery breakdown will incur significant losses, especially to the manufacturing company as it affects the production rates. During operation, machines generate vibrations and there are unwanted vibrations that will disrupt the machine system, which results in faults such as imbalance, wear, and misalignment. Thus, vibration analysis has become an effective method to monitor the health and performance of the machine. The vibration signatures of the machines contain important information regarding the machine condition such as the source of failure and its severity. Operators are also provided with an early warning for scheduled maintenance. Numerous approaches for analyzing the vibration data of machinery have been proposed over the years, and each approach has its characteristics, advantages, and disadvantages. This manuscript presents a systematic review of up-to-date vibration analysis for machine monitoring and diagnosis. It involves data acquisition (instrument applied such as analyzer and sensors), feature extraction, and fault recognition techniques using artificial intelligence (AI). Several research questions (RQs) are aimed to be answered in this manuscript. A combination of time domain statistical features and deep learning approaches is expected to be widely applied in the future, where fault features can be automatically extracted from the raw vibration signals. The presence of various sensors and communication devices in the emerging smart machines will present a new and huge challenge in vibration monitoring and diagnosing.


Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 917-P
Author(s):  
RYO KUMAGAI ◽  
AIKO MURAMATSU ◽  
MASANAO FUJII ◽  
YUKINO KATAKURA ◽  
KEIKO FUJIE ◽  
...  

Author(s):  
G.D. Trifanov ◽  
◽  
A.A. Knyazev ◽  
A.P. Filatov ◽  
V.V. Lauk ◽  
...  

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