Using Operating Deflection Shapes to Detect Faults in Rotating Equipment

Ganeriwala, Surendra N.; Kanakasabai, Vetrivel; Muthukumarasamy, Arul; Wolff, Tom; Richardson, Mark

doi:10.1007/978-1-4419-9834-7_24

Cited by 12 publications

(11 citation statements)

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“…Unbalance as a fault can, therefore, be defined as unbalance outside of a given tolerance level. A recent piece of research which demonstrates the ongoing development of data-driven techniques is that by Ganeriwala et al [7], who tested a technique for measuring operating deflection shapes (ODS) in order to detect unbalance cases. These studies were conducted on a machine fault simulator (a physical simulator of common faults in rotating machines)such simulators have the advantage of recreating faulty conditions quickly and easily, enabling a new dimension to datadriven diagnostic techniques.…”

Section: 1mentioning

confidence: 99%

Rotordynamic Faults: Recent Advances in Diagnosis and Prognosis

Walker

Perinpanayagam

Jennions

2013

International Journal of Rotating Machinery

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Diagnosis and condition monitoring in rotating machinery has been a subject of intense research for the last century. Recent developments indicate the drive towards integration of diagnosis and prognosis algorithms in future integrated vehicle health management (IVHM) systems. With this in mind, this paper concentrates on highlighting some of the latest research on common faults in rotating machines. Eight key faults have been described; the selected faults include unbalance, misalignment, rub/looseness, fluid-induced instability, bearing failure, shaft cracks, blade cracks, and shaft bow. Each of these faults has been detailed with regard to sensors, fault identification techniques, localization, prognosis, and modeling. The intent of the paper is to highlight the latest technologies pioneering the drive towards next-generation IVHM systems for rotating machinery.

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Section: 1mentioning

confidence: 99%

Rotordynamic Faults: Recent Advances in Diagnosis and Prognosis

Walker

Perinpanayagam

Jennions

2013

International Journal of Rotating Machinery

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“…Curvature of mode shape is one of the characteristics that can be used to detect the crack (Lim and Leong, 2013; Rouhollah Pour et al, 2018). Operational deflection shapes can detect the presence of unbalance (Ganeriwala et al, 2009, 2011) in the rotor system and defects such as misalignment (Zhang et al, 2013). Many researchers have used ODS to detect the presence of cracks (Prasad and Sekhar, 2015; Saravanan and Sekhar, 2013).…”

Section: Introductionmentioning

confidence: 99%

Fault detection in rotor system by discrete wavelet neural network algorithm

Rao

Reddy

2021

Journal of Vibration and Control

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This study identifies a method for detection of irregularities such as open cracks or grooves on a rotating stepped shaft with multiple discs, based on the wavelet transforms. Cracks are represented as reduction in diameter of shaft (groove) with small width. Single as well as multiple grooves are considered on stepped shaft at locations of stress concentration. Translational or rotational response curves/mode shapes are extracted from finite element analysis of rotors with and without grooves. Discrete and continuous 1D wavelet transforms are applied on resultant response curve or mode shapes. The results show that rotational response curves or mode shapes are more sensitive to shaft cracks and key contributors to identify the location of cracks than translation response curves or mode shapes. Discrete wavelet transforms are accurate enough to locate the groove of smaller size. Effectiveness of detection by wavelets transforms is analysed for single as well as multiple grooves with increase in groove depth. Increase in groove depth can be quantified by increase in wavelet coefficient, and it can be an indicator. White Gaussian noise with low signal-to-noise ratio is added to response curves and analysed for crack location identification. Intelligent techniques such as artificial neural networks are used to quantify the location and depth of crack. Discrete wavelet transforms coefficients are provided as input to the neural network. Feed forward artificial neural networks are trained with Levenberg–Marquardt back propagation algorithm. Trained networks are able to quantify the crack location and depth accurately.

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“…In this case, the operating deflection shape (ODS) method can be employed to provide the dynamic behavior of the systems at the concerned frequency or moment. 22 Frank et al 23 applied ODS method to further investigate the bus floor's vibration caused and transmitted simultaneously by rear differential and suspension link rods. Devriendt et al 24 found that transmissibility measurements used to obtain the ODS can also allow the estimation of the modal parameters and mode shapes.…”

Section: Introductionmentioning

confidence: 99%

An experimental investigation of resonance sources and vibration transmission for a pure electric bus

Zeng

Tan

Ding

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part D:

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Electric vehicles generally have a better noise, vibration, and harshness quality than traditional vehicles due to the relatively quiet electric motors. By contrast, the noise, vibration, and harshness issues of the driveline system become more outstanding and significant in the absence of the “masking effect” by the engine. The electrification of the powertrain has also brought many changes in the sources or transmission of vibration, which has led to some new noise, vibration, and harshness issues. Specifically, the intense vibration of the prototype bus appears when driving in third gear, which makes the passengers uncomfortable. This paper presents an efficient analytical strategy for identifying the resonance sources and vibration transmission for a pure electric bus. The strategy incorporates order analysis, operating deflection shape, and transfer path analysis. Order analysis shows that the resonance is primarily caused by the second-order excitation associated with the driveline, and the vibration sources are further identified using operating deflection shape analysis. Moreover, the vibration transfer paths from the driveline to the bus floor are quantitatively determined by the transfer path analysis method. The results show that the coupling vibration of the powertrain and the rear drive axle, which amplifies the resonance of the whole driveline, is transmitted to the bus floor primarily through powertrain mounts and V rods. Based on the results, the design and structure modifications of the driveline and transfer paths are recommended to handle this issue. The proposed identification strategy would be beneficial for accurate and efficient engineering troubleshooting on the vibration issues.

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Using Operating Deflection Shapes to Detect Faults in Rotating Equipment

Cited by 12 publications

References 0 publications

Rotordynamic Faults: Recent Advances in Diagnosis and Prognosis

Rotordynamic Faults: Recent Advances in Diagnosis and Prognosis

Fault detection in rotor system by discrete wavelet neural network algorithm

An experimental investigation of resonance sources and vibration transmission for a pure electric bus

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