Detection of Unbalance in Rotating Machines Using Shaft Deflection Measurement during Its Operation

Saleem, Abdul Samad; Diwakar, G.

doi:10.9790/1684-0330820

Cited by 29 publications

(22 citation statements)

References 9 publications

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“…In practice, rotors can never be perfectly balanced because of manufacturing errors such as porosity in casting, non-uniform density of material, manufacturing tolerances and gain or loss of material during operation. As a result of mass unbalance, a centrifugal force is generated and must be reacted against by bearing and support structures [14]. Based on Newton's second law, the equations of Max Force Z-Dir Min Force Z-Dir motion (3) can be derived into rotor bearing system as below [15]:…”

Section: G Rotor Dynamicsmentioning

confidence: 99%

Fluid-Soil-Structure Interaction Phenomena on Vibration Case at Pump Station Building

Hermawan

Iranata

Irawan

2019

JTS

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Excitation at low-rise reinforced concrete building had occurred within the first-year post-construction phase. It is found that the structures laying on thick soil layer while performing up to 4 kPa water transport activity. Three approaches have been adopted to investigate the dynamic behavior and the interaction the phenomenon commonly called fluid-soil-structure interaction. Applying the finite element computation to represent the dynamic of the soil-fluid and structure, existing and ideal-fixed base condition are modeled and compared each. It was found that the structure's modes frequencies, much depend on the rigidity of the base and the fluids traffic on the pump station. Time history string of displacements at the arbitrary point shows that the vibration does occurs and it tendentious increase by time.

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Section: G Rotor Dynamicsmentioning

confidence: 99%

Fluid-Soil-Structure Interaction Phenomena on Vibration Case at Pump Station Building

Hermawan

Iranata

Irawan

2019

JTS

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“…Optimizing shaft alignment is meant to extend the life of the device; however, process variation in manufacturing makes it difficult to ensure the balance of a rotor [32].…”

Section: Unbalancedmentioning

confidence: 99%

High-Speed Spindle Fault Diagnosis with the Empirical Mode Decomposition and Multiscale Entropy Method

Hsieh

Lin

Young

2015

Entropy

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Abstract:The root mean square (RMS) value of a vibration signal is an important indicator used to represent the amplitude of vibrations in evaluating the quality of highspeed spindles. However, RMS is unable to detect a number of common fault characteristics that occur prior to bearing failure. Extending the operational life and quality of spindles requires reliable fault diagnosis techniques for the analysis of vibration signals from three axes. This study used empirical mode decomposition to decompose signals into intrinsic mode functions containing a zero-crossing rate and energy to represent the characteristics of rotating elements. The MSE curve was then used to identify a number of characteristic defects. The purpose of this research was to obtain vibration signals along three axes with the aim of extending the operational life of devices included in the product line of an actual spindle manufacturing company.

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“…In the operation condition, rotors can never be exactly balanced due to manufacturing errors such as generated porosity in casting, non-homogenous density of material, or the loss of material through forming. 17 Sometimes, unbalance is created by the operation of rotary machines in long term use. For example, in a gas turbine, unbalance might happen due to blade damages, internal defects during blade manufacturing, inaccurate installation after overhaul of assembly, cavitation, or a corrosive fluid.…”

Section: Introductionmentioning

confidence: 99%

“…This idea has been developed for a flexible rotating machine via a single run. 17,18 Furthermore, the shaft deflection measurement was utilized to reach the position of the unbalance. 19,20 The frequency response of the system, which was simulated by the NASTRAN software, was applied in a prediction of the unbalance position.…”

Section: Introductionmentioning

confidence: 99%

Unbalance Rotor Parameters Detection Based on Artificial Neural Network

2019

The International Journal of Acoustics and Vibration

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Unbalance is an important fault that can damage or shut down vital rotary systems such as the gas turbine, compressors, and others, so to avoid this trouble, the balancing process is very crucial, even though it is time-consuming and costly. Thus, having a technique which can predict the unbalance location and its parameters will be valuable and practical. The current study represents a model that can identify the unbalance’s mass, radius, and location of the eccentric mass based on the artificial neural network (ANN) model. The inputs of the proposed ANN, which is based on a feed forward with back propagation model, is the bearing acceleration signal in the frequency domain. It has 10 hidden layers with 10 neurons through each layer. The accuracy in prediction was acquired at 96%, 96%, and 94% for the disc number (plane), the eccentric radius, and eccentric mass values, respectively.

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Detection of Unbalance in Rotating Machines Using Shaft Deflection Measurement during Its Operation

Cited by 29 publications

References 9 publications

Fluid-Soil-Structure Interaction Phenomena on Vibration Case at Pump Station Building

Fluid-Soil-Structure Interaction Phenomena on Vibration Case at Pump Station Building

High-Speed Spindle Fault Diagnosis with the Empirical Mode Decomposition and Multiscale Entropy Method

Unbalance Rotor Parameters Detection Based on Artificial Neural Network

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