Design and Development of Machine Fault Simulator (Mfs) for Fault Diagnosis

Nayak, Chitresh; Pathak, Vimal Kumar

doi:10.14810/ijmech.2015.4407

Cited by 3 publications

(2 citation statements)

References 6 publications

(6 reference statements)

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“…[2] presented Dynamic response of machine foundations considering soil damping and embedment paper proposes a method based on which a number of such deficiencies as cited above can be circumvented. Chitresh Nayak et al [3] Presented design and development of machine fault simulator (MFS) for fault diagnosis. This paper show how to industry and construction of machine contains most parts that get damaged and vibrate over time in plurality machines like motor .Gregor C epona et al [4] presented introduction of damping into the flexible multi body belt-drive model, Good agreement between the numerical result and the experimentally obtained data was found.…”

Section: Effects Of Rotational Speed Center Distance and Diameter Ramentioning

confidence: 99%

Effects of Rotational Speed, Center Distance and Diameter Ratios on the Dynamic Response of Pulley-Belt System Depends on Vibration Analysis

Hassan

Ali

2018

QJES

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This paper presents the dynamic response related to varying in indispensable parameters of pulley-belt system, a manufactured pulley-belt system has been built and experimental results have been obtained and analyzed accurately which reveal the effects of these parameters on indicated system. Manufactured system assembled from heavy steel structure, variable speed DC motor, speed measurement tool (tachometer), two shafts of 25 mm diameter, four pillow block ball bearings, V-belts and pulleys with different diameters (10, 15, 20, 25) cm. The fabricated system presents mechanical characteristics likes serial changing in rotational speed (500 to 2000) rpm, diameters ratios (1 to 2.5) and center distance (27 to 120) cm. accelerometer ADXL335 (3-axis) mounted on bearing brackets of drive and driven shafts and connected to Arduino type mega 2560 (microcontroller) which sending the data of vibration to the laptop in order to display it in Sigview software as a time and frequency domain band by FFT (fast fourier transform). Results showed the effects of change the values of rotational speed, center distance, and diameters ratios on vibration response of pulley-belt system.

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Section: Effects Of Rotational Speed Center Distance and Diameter Ramentioning

confidence: 99%

Effects of Rotational Speed, Center Distance and Diameter Ratios on the Dynamic Response of Pulley-Belt System Depends on Vibration Analysis

Hassan

Ali

2018

QJES

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“…When a failure occurs, then finding the absolute root cause of that failure is the main requirement to the prevention of future failure events [1, 4 and 5]. A low-cost set-up and simple design was develop [17] machine fault simulator for rotating elements to identify fault diagnosis and vibration analysis. The extensive research has been carried out in the area of machine health condition monitoring (MHCM) and the work is still going on.…”

Section: Introductionmentioning

confidence: 99%

Identification of Bearing Faults using Wavelet Transform

Vishwakarma*,

Sharma

2019

IJRTE

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This research is concerned with description of a scheme for bearing’s localized defect detection based on wavelet packet transform (WPT). WPT provides a high resolution time-frequency distribution from which periodic structural ringing due to repetitive force impulses, generated upon the passing of each rolling element on the defect, are detected. The objective of this work is to emphasis on the outer race defect, inner race defect and ball defect. In modern industrial scenario, there is increasing demand for automatic condition monitoring that reduce the gap between digital model and actual product. With reliable condition monitoring, faults such as machine element failures could be identified in their early-stages and further damage to the system could be prevented. Successful monitoring is a complex and application-specific problem, but a generic tool would be useful in preliminary analysis of new signals and in verification of known theories.

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Vibration based condition monitoring of spur gear using signal processing and machine learning

Alkahtani,

Gangwar,

Nayak

2024

Preprint

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The objective of this work is to diagnose the fault of spur gear based on vibration analysis using signal processing techniques and machine learning (ML) algorithms. This paper describes two approaches of signal processing techniques, which are time-domain and frequency domain. The proposed method investigated that both approaches of signal processing are suitable for fault diagnosis effectively and has been improved by analyzing from both sides. Variation of noise level during the meshing of gears has also been measured. Statistical features extracted from recorded vibration signals using time-domain approach for healthy and faulty spur gear conditions were used as input to ML algorithms The outcome of this research validated through machine learning approaches such as the J48 algorithm, which is 97.08% classification accuracy. It has been observed that for better monitoring of the health status of the gear, both sides' signals and noise levels must be analyzed. The outcome of this work is an important consideration for fault diagnosis of spur gear as well as bearings and shaft misalignment.

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Design and Development of Machine Fault Simulator (Mfs) for Fault Diagnosis

Abstract: ABSTRACT

Cited by 3 publications

References 6 publications

Effects of Rotational Speed, Center Distance and Diameter Ratios on the Dynamic Response of Pulley-Belt System Depends on Vibration Analysis

Effects of Rotational Speed, Center Distance and Diameter Ratios on the Dynamic Response of Pulley-Belt System Depends on Vibration Analysis

Identification of Bearing Faults using Wavelet Transform

Vibration based condition monitoring of spur gear using signal processing and machine learning

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