The Maintenance and Reliability Center (MRC) at The University of Tennessee, performs research and applies cutting-edge technology to help its member companies reduce losses caused by equipment downtime. The first MRC research project dealt with the precision alignment of rotating machinery. Controlled experiments were performed at The University of Tennessee and at the Oak Ridge Center for Ele...

This section of notes discusses some of the fundamental processes involved in electric machinery. In the section on energy conversion processes we examine the two major ways of estimating electromagnetic forces: those involving thermodynamic arguments (conservation of energy) and field methods (Maxwell’s Stress Tensor). But first it is appropriate to introduce the topic by describing a notional...

Abstract: Rotating machinery is common in any industry. Rotating machinery in the modern era are designed for higher running speeds, tighter clearances and working under extreme conditions enhancing efficiency of the system to produce and transmit more power. All these lead to many rotordynamic challenges. Main cause of vibrations is faults in the rotating systems like unbalance, looseness, etc...

Abstract Rotating machinery is important to industrial production. Any failure of rotating machinery, especially the rolling bearings, can lead equipment shutdown and even more serious incidents. Therefore, accurate residual life prediction plays a crucial role in guaranteeing machine operation safety reliability reducing maintenance cost. In order increase forecasting precision remaining usefu...

Statistical estimates of vibration signals such as the mean and variance can provide indication of faults in rotating machinery. Using these estimates jointly can give a more robust classiication than using each individually. Artiicial neural network architectures and some statistical algorithms are compared with emphasis on training requirements and real-time implementation as well as overall ...

The interaction of work fluid mechanics with that of the rotary system itself, basically composed of axes, bearings and rotors, is performed by inserting equivalent dynamic coefficients in the mathematical model of the rotor, the latter being obtained by the finite element method. In this paper, the dynamic coefficients of inertia, stiffness and damping of the flat seals analyzed here are evalu...

There is need to continuously monitor the conditions of complex, expensive and process-critical machinery in order to detect its incipient breakdown as well as to ensure its high performance and operating safety. Depending on the application, several techniques are available for monitoring the condition of a machine. Vibration monitoring of rotating machinery is considered in this paper so as d...

Rotating machinery is a key piece of equipment for tremendous engineering operations. Vibration analysis powerful tool monitoring the condition rotating machinery. Furthermore, vibration signals have characteristics time series. Hence, it necessary to monitor signal series avoid any catastrophic failure. To this end, paper proposes an effective strategy under hybrid method framework. First, we ...

Rotating machinery, such as steam turbo, compressor, and aeroengine etc., are widely used in many industrial fields. Among the important rotor faults, the fatigue crack fault, which can lead to catastrophic failure and cause injuries and severe damage to machinery if undetected in its early stages, is most difficult to detect efficiently with traditional methods. In the paper, based on the trut...

In the current economic challenge, methods to accurately predict system failure has become a holy grail in maintenance with the goal to reduce the cost of unavailability due to unscheduled shutdown. This has led to the current research with the aim to achieve a more accurate fault diagnosis for rotating machinery using a neural network (NN) with principal component analysis (PCA) as a pre-proce...