Contact acoustic nonlinearity (CAN)-based continuous monitoring of bolt loosening: Hybrid use of high-order harmonics and spectral sidebands

Zhang, Zhen; Liu, Menglong; Liao, Yaozhong; Su, Zhongqing; Xiao, Yi

doi:10.1016/j.ymssp.2017.10.009

Cited by 101 publications

(52 citation statements)

References 36 publications

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“…The scientists of MSTU Stankin under the supervision of Prof M.P. Kozochkin developed the in-situ monitoring system based on vibroacoustic emission [44,45] and adopted it for the needs of electrical discharge machining (Figures 1 and 2). The preliminary study showed that the oscillations of the wire in the slot during processing might be a reason of instability and turn into the self-oscillation process, which results in the defects of the machined surfaces [46][47][48].…”

Section: Mathematical Approach and Evaluation Of Wire Amplitude Undermentioning

confidence: 99%

On Adaptive Control for Electrical Discharge Machining Using Vibroacoustic Emission

et al. 2018

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The article is related to the research of the parameters of vibroacoustic emission for development of the monitoring and adaptive control system for electrical discharge machining. The classical control system based on a response of electrical parameters does not give an adequate data in the cases of a new class of materials processing as conductive ceramics reinforced by conductive nano additives and carbon nanotubes and whiskers. The idle pulses, which are working on the destruction of the erosion products in the gap, count as working pulses. The application of the monitoring and control tools based on vibroacoustic emission gives adequate data about conditions in the working zone. The developed system is available to count only impulses involved in working on the destruction of the workpiece. The experiments were conducted on the samples of materials with a low melting point as austenitic steel and aluminum alloy, and hard alloys. The records of vibroacoustic signals were analyzed for detection of the monitoring and adaptive control criteria.

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Section: Mathematical Approach and Evaluation Of Wire Amplitude Undermentioning

confidence: 99%

On Adaptive Control for Electrical Discharge Machining Using Vibroacoustic Emission

et al. 2018

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“…This induces asymmetry in the contact restoration forces. Consequently, those forces cause a parametric change of stiffness and lead to structural dynamic nonlinearity, known as contact acoustic nonlinearity [15,16]. Since the guided wave amplitude excited by a piezoelectric element is generally small, it is difficult to stimulate the nonlinearity of the structure itself.…”

Section: Theoretical Basis and Numerical Modeling 21 Theoretical Bamentioning

confidence: 99%

“…Zhang Z et al [17] compared the proposed VAM method with WED-based linear method, and the results show that the proposed sideband index β effectively enhanced measurement sensitivity. In addition, Amerini and Meo [27] developed Z et al [16] also compared the high-order harmonics and sideband methods and demonstrated that the stability of spectral sideband-based method is better. Spectral sideband can also be generated by impact modulation.…”

Section: Contact Acoustic Nonlinearitymentioning

confidence: 99%

Structural Health Monitoring of Bolted Joints Using Guided Waves: A Review

Du¹,

Xu²,

Ren³

et al. 2018

Structural Health Monitoring From Sensing to Processing

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Bolted joints are widely applied in engineering structures. Significant advantages of bolted joints are that they can be easily disassembled and the possibility to design for bearing large working load. However, in practical applications, preload loss in pre-tensioned bolts is inevitable. Reliable detection of bolt loosening is significant to ensure structural reliability and safety. In the past decades, the guided wave-based structural health monitoring (SHM) methods have been developed for the detection of bolt loosening, and considerable advancements have been made in this area. This chapter presents a review of the existing studies on bolt preload monitoring method based on guided wave. The basic principle and characteristics of the typical methods are discussed, which involve wave energy dissipation, time reversal guided wave, contact acoustic nonlinearity, and active chaotic ultrasonic excitation-based methods. In addition, this chapter presents an experimental comparison of the detection sensitivity of wave energy dissipation and time reversal method. The results show that the TR method is more sensitive to bolt loosening.

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“…They can be classified into two big groups: based on the use of local sensors or “smart bolts” and the modal analysis of the whole structure or machine. Local contact surface sensors, e.g., by electrical conductivity [ 21 ], tension stress measurement by ultrasonic waves [ 22 , 23 ] high-frequency acoustic emission of low-speed rotating machinery [ 24 ], using high-order harmonics and spectral sidebands [ 25 ], wave energy dissipation (WED) and vibroacoustic modulation (VM) [ 26 , 27 , 28 ]. Sensing instrumentation also includes piezoelectric active sensing [ 29 , 30 , 31 , 32 , 33 ] using wearable sensors [ 34 ] and smart washers [ 35 , 36 , 37 , 38 , 39 ] based on lead zirconate titanate (PZT) transducers, which generate testing stress waves as the actuators.…”

Section: Introductionmentioning

confidence: 99%

Vibration-Based Diagnostics of Radial Clearances and Bolts Loosening in the Bearing Supports of the Heavy-Duty Gearboxes

Krot

Korennoi

Zimroz

2020

Sensors

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The problem solved in this research is the diagnosis of the radial clearances in bearing supports and the loosening of fastening bolts due to their plastic elongation (creep) or weak tightening using vibration signals. This is an important issue for the maintenance of the heavy-duty gearboxes of powerful mining machines and rolling mills working in non-stationary regimes. Based on a comprehensive overview of bolted joint diagnostic methods, a solution to this problem based on a developed nonlinear dynamical model of bearing supports is proposed. Diagnostic rules are developed by comparing the changes of natural frequency and its harmonics, the amplitudes and phases of shaft transient oscillations. Then, the vibration signals are measured on real gearboxes while the torque is increasing in the transmission during several series of industrial trials under changing bearings and bolts conditions. In parallel, dynamical torque is measured and its interrelation with vibration is determined. It is concluded that the radial clearances are the most influencing factors among the failure parameters in heavy-duty gearboxes of industrial machines working under impulsive and step-like loading. The developed diagnostics algorithm allows condition monitoring of bearings and fastening bolts, allowing one to undertake timely maintenance actions to prevent failures.

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Contact acoustic nonlinearity (CAN)-based continuous monitoring of bolt loosening: Hybrid use of high-order harmonics and spectral sidebands

Cited by 101 publications

References 36 publications

On Adaptive Control for Electrical Discharge Machining Using Vibroacoustic Emission

On Adaptive Control for Electrical Discharge Machining Using Vibroacoustic Emission

Structural Health Monitoring of Bolted Joints Using Guided Waves: A Review

Vibration-Based Diagnostics of Radial Clearances and Bolts Loosening in the Bearing Supports of the Heavy-Duty Gearboxes

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