Technique for optimal placement of transducers for fault detection in rotating machines

Fatima, Shahab; Dastidar, Sabyasachi G.; Mohanty, Amiya Ranjan; Naikan, V. N. A.

doi:10.1177/1748006x13475412

Cited by 8 publications

(5 citation statements)

References 26 publications

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“…The rate of increase in temperature at the bearings due to frictional heat generation can be determined by solving equation (7). However, for simplicity, assuming a one-dimensional heat transfer model using the lumped parameter approach, the transient time constants of the couplings and bearings were calculated based on equation (11) and are given in Table 3, which is close to some of the experimental observations in this study.…”

Section: Estimation Of Time Constantsupporting

confidence: 63%

“…In order to detect misalignment, well-established fault detection techniques using vibration spectra at the bearing locations exist. [5][6][7] The vibration measurements at bearing locations are usually done by piezo-electric accelerometers, though recently researchers have also used laser vibrometer to measure the bearing locations from remote locations. Some other techniques that are well developed for condition monitoring are the techniques of motor current signature analysis (MCSA), ultrasonic, radiography and so on.…”

Section: Introductionmentioning

confidence: 99%

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A misalignment detection methodology by measuring rate of temperature rise of shaft coupling using thermal imaging

Fatima

Mohanty

Naikan

2015

Proceedings of the Institution of Mechanical Engineers, Part O:

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Couplings used for connecting shafts allow for small amounts of misalignment between them. However, these misalignments give rise to additional vibrations at the bearing locations. And traditionally, misalignments in shafting systems have been determined by a vibration signature analysis. These misalignments are also responsible for temperature rise at the bearings and couplings. In this article, an experimental study has been made to detect early the presence of misalignment in systems, by measuring the temperature of the shaft couplings using a thermal imaging camera. The effects of load, speed and misalignment on the types of couplings and their temperature rise have been studied. It has been found that by monitoring the rate of temperature rise within the time constant of a coupling system, a misalignment in a system can be detected. In this study, the experimentally measured time constant is found to be in the range of estimated time constant of the system from one-dimensional heat transfer models. An approximate idea of the estimated thermal time constant of a system can be obtained by the theory reviewed in this article. In order to detect the misalignment in the system, the temperature measurement of the coupling has to be done before it reaches its steady-state value. Vibration measurements using both accelerometers and single-point laser vibrometer at the bearing locations under different load and speed conditions have also been done to correlate with the thermal imaging. It has been found that the measured transient spatial temperature distribution on the couplings also indicates the presence of misalignment in the shafting system. The methodology proposed in this article can be used in automated detection systems using thermography to detect misalignments from remote locations.

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Section: Estimation Of Time Constantsupporting

confidence: 63%

Section: Introductionmentioning

confidence: 99%

A misalignment detection methodology by measuring rate of temperature rise of shaft coupling using thermal imaging

Fatima

Mohanty

Naikan

2015

Proceedings of the Institution of Mechanical Engineers, Part O:

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“…It was also used to detect imbalance using piezoelectric strain sensors [29]. The misaligned and cracked shaft was also analyzed on this simulator, and sensitive locations for transducers were discussed [30]. This study focuses on multiple damages in roller bearings; bearing damages have been analyzed by comparing the intact bearing's histogram and kurtosis values with the following defected bearings: (1) inner race defect; (2) outer race defect; (3) ball defect; and (4) combination defect.…”

Section: Methodsmentioning

confidence: 99%

Vibration Energy at Damage-Based Statistical Approach to Detect Multiple Damages in Roller Bearings

et al. 2022

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This study proposes a statistical approach based on vibration energy at damage to detect multiple damages occurring in roller bearings. The analysis was performed at four different rotating speeds—1002, 1500, 2400, and 3000 RPM—following four different damages—inner race, outer race, ball, and combination damage—and under two types of loading conditions. These experiments were performed on a SpectraQuest Machinery Fault Simulator™ by acquiring the vibration data through accelerometers under two operating conditions: with the bearing loader on the rotor shaft and without the bearing loader on the rotor shaft. The histograms showed diversity in the defected bearing as compared to the intact bearing. There was a marked increase in the kurtosis values of each damaged roller bearing. This research article proposes that histograms, along with kurtosis values, represent changes in vibration energy at damage that can easily detect a damaged bearing. This study concluded that the vibration energy at damage-based statistical technique is an outstanding approach to detect damages in roller bearings, assisting Industry 4.0 to diagnose faults automatically.

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“…26 The experiments were performed on MFS for angular and parallel misalignments and breathing crack by obtaining vibration data on different speeds to study sensitive location for transducer. 27 In this research, both experiments A and B have been performed to obtain vibration spectra of misaligned shaft for different operational conditions. The experiment C is performed to detect slit and V-notch crack in shaft.…”

Section: Order Analysismentioning

confidence: 99%

“…Vibration spectrum analysis was performed on experimental data obtained from MFS to illustrate the proposed selection process. 27 The literature concluded that the vibration spectrum is a widely used method for detecting the real-world faults in rotating machinery, and a lot of gaps are present that can be addressed by analysing the effects of shaft misalignment and cracked shaft in rotating machinery with order analysis, so that it can help in implementation of industry 4.0. In this research article, the use of order analysis to detect shaft misalignment and cracked shaft is explored.…”

Section: Introductionmentioning

confidence: 99%

Experimental condition monitoring for the detection of misaligned and cracked shafts by order analysis

Azeem

Yuan

Raza

et al. 2019

Advances in Mechanical Engineering

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Traditional industry is shifting towards the 'industry 4.0 factory' that incorporates automatic fault detection and correction. Industry 4.0 also includes online condition monitoring to make maintenance decisions on the basis of the health of a single machine. This research article presents order analysis for detecting two common problems in rotating machinery-misalignment and cracks. The systematic and detailed experimentations were performed on SpectraQuest's Machinery Fault Simulatorä, and the time domain data acquired through the accelerometers mounted on motor and rotor inboard and outboard bearing housing were transformed into spectra using a fast Fourier transform. Two sets of experiments have been performed for misalignment and one set for shaft cracks. Three levels of misalignment with two types of loading conditions have been analysed. The faulty vibration data were compared with the healthy shaft. The misaligned shaft shows higher vibration amplitude at 2 3 running speed and harmonic vibration behaviour. The slit repair and V-notch crack shaft models were used to analyse the effect of cracks on vibrations and the resulting vibration spectra showed peaks at 2 3 and 3 3 running speed. These results indicate that order analysis is helpful in detecting misaligned and cracked shafts, supporting industry 4.0 by facilitating the automatic detection of faults.

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Technique for optimal placement of transducers for fault detection in rotating machines

Cited by 8 publications

References 26 publications

A misalignment detection methodology by measuring rate of temperature rise of shaft coupling using thermal imaging

A misalignment detection methodology by measuring rate of temperature rise of shaft coupling using thermal imaging

Vibration Energy at Damage-Based Statistical Approach to Detect Multiple Damages in Roller Bearings

Experimental condition monitoring for the detection of misaligned and cracked shafts by order analysis

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