An assembly tightness detection method for bolt-jointed rotor with wavelet energy entropy

Zhang, Xiaoli; Yan, Qiang; Yang, Ji Peng; Zhao, Jidong; Shen, Yanbin

doi:10.1016/j.measurement.2018.12.056

Cited by 27 publications

(13 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…e damping coefficients a and ß can be obtained by solving the binary linear equations in (10). e formula is expressed as follows:…”

Section: Mathematical Model Of a Rotor-bearing-seal-foundation System With Pedestal Loosenessmentioning

confidence: 99%

“…Muszynska and Goldman [9] first analyzed the nonlinear dynamics of the rotor system considering the coupled faults of rub impact and looseness. Zhang et al [10] proposed the wavelet energy entropy method to identify the connection tightness of bolts in the rotor system, and the results showed that the index monotonously increases when the bolt assembly tightness decreases. Jiang et al [11] studied rotor loosening models considering piecewise linear stiffness, damping force, and nonlinear elastic force; established corresponding mathematical model; and evaluated different degrees of looseness using the nonlinearity-measure-based assessment method.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Nonlinear Responses of a Rotor‐Bearing‐Seal System with Pedestal Looseness

Lin

Zhao

Wang

et al. 2021

Shock and Vibration

View full text Add to dashboard Cite

In this paper, a pedestal looseness fault model of a rotor-bearing-seal system is established. Under two working conditions of the same direction eccentricity (Working Condition 1) and reverse eccentricity (Working Condition 2), rotor orbits, vibration waveforms, spectrum cascade, and Poincaré maps are used to study the dynamic characteristics of the system when the sliding bearing support is loosened. The influence of speed, the unbalance of two discs, the looseness clearance, and the mass of bearing support on system characteristics are analyzed. The study found that Working Condition 2 is more likely to cause looseness of the bearing support. Moreover, for the rotor system in this paper, the pedestal looseness fault is more likely to occur near the second-order critical speed. Through analysis of the spectrum, it is found that the spectrum of the looseness fault will show multiple frequencies or continuous spectra, and the rotor orbits will appear “cylindrical.”

show abstract

“…e damping coefficients a and ß can be obtained by solving the binary linear equations in (10). e formula is expressed as follows:…”

Section: Mathematical Model Of a Rotor-bearing-seal-foundation System With Pedestal Loosenessmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Nonlinear Responses of a Rotor‐Bearing‐Seal System with Pedestal Looseness

Lin

Zhao

Wang

et al. 2021

Shock and Vibration

View full text Add to dashboard Cite

show abstract

“…These features serve as indicators for estimating the severity of degraded structures. 47 The modal analysis finds applications in detecting delamination in composite laminates, 48 cracks in concrete structures, 49 looseness in bolted joints, 50,51 etc. In general, modal analysis is performed using (a) the impact hammer method and (b) the vibration shaker method.…”

Section: Overview Of Traditional Methods For Looseness Detection Of B...mentioning

confidence: 99%

“…They noticed that the ratio of the second harmonic amplitude to the fundamental frequency amplitude extracted nonlinear characteristics. Zhang et al 50 adopted a vibration test to detect multi-bolt looseness in a bolted rotor assembly. They analyzed the acquired signals using a db wavelet, and an index based on wavelet energy and information entropy was developed for quantification.…”

Section: Overview Of Traditional Methods For Looseness Detection Of B...mentioning

confidence: 99%

Review on recent advances in structural health monitoring paradigm for looseness detection in bolted assemblies

Chelimilla

Chinthapenta

Kali

et al. 2023

Structural Health Monitoring

View full text Add to dashboard Cite

The integrity of bolted joints is still a challenging problem owing to the gross or localized slip at the interfacial surfaces of the joints when subjected to external disturbances such as vibrations. This slip escalates the interfacial movement and, thus, leads to a decrease in preload levels, that is, looseness of the bolted assemblies. In the last decade, modal analysis, wave propagation, and percussion methods were traditionally used to detect looseness in bolted connections. With an increase in computational power, machine learning algorithms such as neural networks, random forests, decision trees, and support vector machines complemented the traditional methods in accurate looseness estimation. Subsequently, this integration paved the path for real-time health monitoring of bolted joints. This paper summarizes recent investigations on looseness detection in bolted assemblies based on traditional methods and machine learning algorithms. The working principle, advantages, challenges, and applications of the aforementioned methods are also detailed in this paper. Apart from these investigations, the latest studies on the Internet of Things-based health monitoring of structures are also reviewed to explore their adaptability in remote monitoring of bolted connections for damage detection in the future.

show abstract

“…Zhao et al [21] deployed multiscale fuzzy distribution entropy and intentionally measured the complexity, irregularity, non-linear characteristics and non-consistent fault features of vibration signals. Zhang et al [22] discussed the complexity and irregularity of a rotor's vibration response signals by formulating Shannon's probabilistic entropy as a dimensionless index and concluded that with the increase in wavelet entropy, the tightness of bolted joints tends to loosen. Leite et al [23] extracted some probability mass functions (PMFs) of a given time waveform by utilizing the well-known Shannon's entropy, Renyi's entropy and Jensen-Renyi's directed divergence (JRDD).…”

Section: Introductionmentioning

confidence: 99%

Maximal overlap discrete wavelet packet transforms and variants of neutrosophic cubic cross-entropy-based identification of rotor defects

Gandhi

Kumar

Vashishtha

et al. 2022

Meas. Sci. Technol.

View full text Add to dashboard Cite

The underlying study proposes a novel procedure for automated testimony of rotor defects through maximal overlap discrete wavelet packet transforms (MODWPT) and the proposed neutrosophic cubic cross measure, fuzzy cross entropy and single valued neutrosophic cross entropy measures consecutively. Discrete wavelet transform is an efficient data acquisition technique, but the technical barrier with this technique is that it can decompose only low frequency (approximate) signals and does not possess shift invariance property. MODWPT possesses shift invariance property and is highly capable of decomposing both approximate and detail signals in time frequency analysis. After the acquisition of raw signals through MODWPT, the lower and upper bounds of normalized energy readings of various rotor defect condition (familiar and unfamiliar) are extracted and converted into the forms of fuzzy sets, single valued neutrosophic sets and neutrosophic cubic sets respectively. The minimum neutrosophic cubic cross-entropy measure as well as fuzzy and single valued neutrosophic cross entropy measure values between each rotor defect condition (familiar and unfamiliar) are computed and then utilized to identify various rotor defect conditions such as parallel and angular misalignment of 7 Mils, rub, unbalance and defect free respectively. The proposed variants of cross entropy measure are intelligent in identifying the desired rotor defect conditions in comparison with the existing cosine similarity measure, which exhibits unjustified and meaningless results during mathematical treatments.

show abstract

An assembly tightness detection method for bolt-jointed rotor with wavelet energy entropy

Cited by 27 publications

References 12 publications

Nonlinear Responses of a Rotor‐Bearing‐Seal System with Pedestal Looseness

Nonlinear Responses of a Rotor‐Bearing‐Seal System with Pedestal Looseness

Review on recent advances in structural health monitoring paradigm for looseness detection in bolted assemblies

Maximal overlap discrete wavelet packet transforms and variants of neutrosophic cubic cross-entropy-based identification of rotor defects

Contact Info

Product

Resources

About