Acoustic fault signal extraction via the line-defect phononic crystals

Abstract

Rotating machine fault signal extraction becomes increasingly important in practical engineering applications. However, fault signals with low signal-to-noise ratios (SNRs) are difficult to extract, especially at the early stage of fault diagnosis. In this paper, 2D line-defect phononic crystals (PCs) consisting of periodic acrylic tubes with slit are proposed for weak signal detection. The defect band, namely, the formed resonance band of line-defect PCs enables the incident acoustic wave at the resonance frequency to be trapped and enhanced at the resonance cavity. The noise can be filtered by the band gap. As a result, fault signals with high SNRs can be obtained for fault feature extraction. The effectiveness of weak harmonic and periodic impulse signal detection via line-defect PCs are investigated in numerical and experimental studies. All the numerical and experimental results indicate that line-defect PCs can be well used for extracting weak harmonic and periodic impulse signals. This work will provide potential for extracting weak signals in many practical engineering applications.

Graphical abstract

Keywords

phononic crystals / line-defect / fault signal extraction / acoustic enhancement

References

[1] PalmaP, SteigerR. Structural health monitoring of timber structures—review of available methods and case studies. Construction and Building Materials, 2020, 248 : 118528

[2] GardnerP, LiuX, WordenK. On the application of domain adaptation in structural health monitoring. Mechanical Systems and Signal Processing, 2020, 138 : 106550

[3] LiX, Cheng J, ShaoH D, LiuK, Cai B P. A fusion CWSMM-based framework for rotating machinery fault diagnosis under strong interference and imbalanced case. IEEE Transactions on Industrial Informatics, 2021 (in press)

[4] ZhangD C, StewartE, EntezamiM, RobertsC, YuD J. Intelligent acoustic-based fault diagnosis of roller bearings using a deep graph convolutional network. Measurement, 2020, 156 : 107585

[5] KotP, MuradovM, GkantouM, KamarisG S, HashimK, YeboahD. Recent advancements in non-destructive testing techniques for structural health monitoring. Applied Sciences (Basel, Switzerland), 2021, 11( 6): 2750

[6] ShaoH D, XiaM, Wan J F, De SilvaC. Modified stacked auto-encoder using adaptive morlet wavelet for intelligent fault diagnosis of rotating machinery. IEEE/ASME Transactions on Mechatronics, 2022, 27(1): 24− 33

[7] KontoudisG P, KraussS, StilwellD J. Model-based learning of underwater acoustic communication performance for marine robots. Robotics and Autonomous Systems, 2021, 142 : 103811

[8] DanaweH, OkudanG, OzevinD, TolS. Conformal gradient-index phononic crystal lens for ultrasonic wave focusing in pipe-like structures. Applied Physics Letters, 2020, 117( 2): 021906

[9] HadA, SabriK. A two-stage blind deconvolution strategy for bearing fault vibration signals. Mechanical Systems and Signal Processing, 2019, 134 : 106307

[10] ZhangD C, EntezamiM, StewartE, RobertsC, YuD J, LeiY G. Wayside acoustic detection of train bearings based on an enhanced spline-kernelled chirplet transform. Journal of Sound and Vibration, 2020, 480 : 115401

[11] KhareS K, BajajV, SinhaG R. Adaptive tunable Q wavelet transform-based emotion identification. IEEE Transactions on Instrumentation and Measurement, 2020, 69( 12): 9609– 9617

[12] XuL, ChattertonS, PennacchiP. Rolling element bearing diagnosis based on singular value decomposition and composite squared envelope spectrum. Mechanical Systems and Signal Processing, 2021, 148 : 107174

[13] QiaoZ J, LeiY G, LiN P. Applications of stochastic resonance to machinery fault detection: a review and tutorial. Mechanical Systems and Signal Processing, 2019, 122 : 502– 536

[14] LuS L, HeQ B, WangJ. A review of stochastic resonance in rotating machine fault detection. Mechanical Systems and Signal Processing, 2019, 116 : 230– 260

[15] HyunJ, ChoW H, ParkC S, ChangJ H, KimM. Achromatic acoustic gradient-index phononic crystal lens for broadband focusing. Applied Physics Letters, 2020, 116( 23): 234102

[16] NassarH, ChenY Y, HuangG L. Isotropic polar solids for conformal transformation elasticity and cloaking. Journal of the Mechanics and Physics of Solids, 2019, 129 : 229– 243

[17] ColombiA, RouxP, GuenneauS, RupinM. Directional cloaking of flexural waves in a plate with a locally resonant metamaterial. The Journal of the Acoustical Society of America, 2015, 137( 4): 1783– 1789

[18] LauretiS, HutchinsD A, AstolfiL, WatsonR L, ThomasP J, BurrascanoP, NieL, FreearS, AskariM, ClareA T, RicciM. Trapped air metamaterial concept for ultrasonic sub-wavelength imaging in water. Scientific Reports, 2020, 10( 1): 10601

[19] BoccaccioM, RachigliaP, Malfense FierroG P, Pio PucilloG, MeoM. Deep-subwavelength-optimized holey-structured metamaterial lens for nonlinear air-coupled ultrasonic imaging. Sensors (Basel), 2021, 21( 4): 1170

[20] LeeT, NomuraT, SuX S, IizukaH. Fano-like acoustic resonance for subwavelength directional sensing: 0–360 degree measurement. Advanced Science, 2020, 7( 6): 1903101

[21] ColombiA, AgeevaV, SmithR J, ClareA, PatelR, ClarkM, ColquittD, RouxP, GuenneauS, CrasterR V. Enhanced sensing and conversion of ultrasonic rayleigh waves by elastic metasurfaces. Scientific Reports, 2017, 7( 1): 6750

[22] MiniaciM, PalR K, MannaR, RuzzeneM. Valley-based splitting of topologically protected helical waves in elastic plates. Physical Review B, 2019, 100( 2): 024304

[23] JiangT X, HeQ B, PengZ K. Enhanced directional acoustic sensing with phononic crystal cavity resonance. Applied Physics Letters, 2018, 112( 26): 261902

[24] JoS H, YoonH, ShinY C, YounB D. An analytical model of a phononic crystal with a piezoelectric defect for energy harvesting using an electroelastically coupled transfer matrix. International Journal of Mechanical Sciences, 2021, 193 : 106160

[25] LiY G, ChenT N, WangX P, MaT, JiangP. Acoustic confinement and waveguiding in two-dimensional phononic crystals with material defect states. Journal of Applied Physics, 2014, 116( 2): 024904

[26] ShakeriA, DarbariS, Moravvej-FarshiM K. Designing a tunable acoustic resonator based on defect modes, stimulated by selectively biased PZT rods in a 2D phononic crystal. Ultrasonics, 2019, 92 : 8– 12

[27] DavisB L, HusseinM I. Thermal characterization of nanoscale phononic crystals using supercell lattice dynamics. AIP Advances, 2011, 1( 4): 041701

[28] Villa-ArangoS, TorresR, KyriacouP A, LucklumR. Fully-disposable multilayered phononic crystal liquid sensor with symmetry reduction and a resonant cavity. Measurement, 2017, 102 : 20– 25

[29] NingS W, YangF Y, LuoC C, LiuZ L, ZhuangZ. Low-frequency tunable locally resonant band gaps in acoustic metamaterials through large deformation. Extreme Mechanics Letters, 2020, 35 : 100623

[30] LiY, WuY, MeiJ. Double Dirac cones in phononic crystals. Applied Physics Letters, 2014, 105( 1): 014107

[31] ZhangD C, EntezamiM, StewartE, RobertsC, YuD J. Adaptive fault feature extraction from wayside acoustic signals from train bearings. Journal of Sound and Vibration, 2018, 425 : 221– 238

Acknowledgements

This paper was financially supported by the National Natural Science Foundation of China (Grant No. 52175087).

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2022 Higher Education Press