Fault feature extraction for diesel engine misfires based on the gray image texture analysis

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Journal of Vibration and Shock ›› 2019, Vol. 38 ›› Issue (2) : 140-145.

LIU Xin1，JIA Yunxian1，SU Xiaobo1,2，ZOU Xiao3

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Abstract

Misfire is a common fault in engines,and the traditional fault diagnosis approaches are of the problems of noise pollution and difficulty in parameters obtaining,which make a bad accuracy.Aiming at these problems,a 2D fault feature extraction model based on the gray image texture analysis was proposed,which can be used to reduce noise pollution and simplify the calculation process.A 1D time-domain signal was converted into a 2D gray image,then the texture analysis on the gray image was introduced based on the Local Binary Patterns (LBP) to find out local features.The fault features of the gray image were then extracted based on the 2D FFT with the purpose of reducing the noise pollution.Taking a three-cylinder four-stroke diesel engine as an object,a predesigned misfire fault experiment for the diesel engine was carried out to collect the exhaust noise and cylinder head vibration signals for fault diagnosis,which demonstrates the accuracy of the proposed method.

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LIU Xin1，JIA Yunxian1，SU Xiaobo1,2，ZOU Xiao3. Fault feature extraction for diesel engine misfires based on the gray image texture analysis[J]. Journal of Vibration and Shock, 2019, 38(2): 140-145

References

[1] 孙宜权，张英堂，李志宁，等. 运用Vold-Kalman阶比跟踪的发动机失火故障在线诊断[J]. 振动、测试与诊断，2013,33（6）：1014-1018.
Sun Y Q, Zhang Y T, Li Z N, et al. Method for Diagnosing Misfiring Fault of Engine Online Based on Vold-Kalman Order Track [J]. Journal of Vibration, Measurement & Diagnosis, 2013, 33（6）: 1014-1018.
[2] Kedadouche M, Thomas M, Tahan A. A comparative study between Empirical Wavelet Transforms and Empirical Mode Decomposition Methods: Application to bearing defect diagnosis [J]. Mechanical Systems and Signal Processing, 2016 (81): 88-107.
[3] Liu X, Jia Y X，He Z W，et al. Application of EMD-WVD and particle filter for gearbox fault feature extraction and remaining useful life prediction [J]. Journal of Vibroengineering, 2017, 19 (3):1793-1808.
[4] Zhou Y B, Liu Y B, Xin W D, er al. Gear fault feature extraction based on the combination of Gabor reconstruction and Bispectral analysis [C]. Proceedings of the 31st Chinese Control Conference, July, 2012: 3745-3749.
[5] 胡海锋，陈苏婷. Gabor 小波和改进LBP 的零件表面粗糙度识别[J]. 中国图象图形学报, 2014，19 (11):1623-1629.
Hu H F，Chen S T. Recognition of work piece surface roughness based on Gabor wavelet and improved LBP［J］． Journal of Image and Graphics，2014，19 (11): 1623-1629.
[6] Van T D, U-Pil C. Signal model-based fault detection and diagnosis for induction motors using features of vibration signal in two-dimension domain [J]. Journal of Mechanical Engineering, 2011, 57(9): 655-666.
[7] Uddin J, Islam Md R, Kim J, et al. A two-dimensional fault diagnosis model of induction motors using a Gabor filter on Segmented images [J]. International Journal of Control and Automation, 2016, 9(1): 11-22.
[8] Ojala T, Pietikäinen M, Harwood D. A comparative study of texture measures with classification based on featured distributions [J]. Pattern Recognition, 1996, 29(1): 51-59.
[9] Liu P Z, Guo J M, Kosin C, et al. Fusion of color histogram and LBP-based features for texture image retrieval and classification [J]. Information Sciences, 2017, 390: 95–111.
[10] Ahonen T, Hadid A, Pietikainen M. Face recognition with local binary patterns[C]. Proceedings of European Conference on Computer Vision, Prague, Czech Republic, 2004, 469-481.
[11] Ning J, Zhang L, Zhang D, et al. Robust object tracking using joint color-texture histogram [J]. International Journal of Pattern Recognition and Artificial Intelligence, 2009, 23(7): 1245-1263.
[12] Jia S, Hu J, Zhu J S, et al. Three-Dimensional Local Binary Patterns for Hyperspectral Imagery Classification [J]. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(4): 2399-2413.
[13] Swrtel O, Kong J, Shimada H, et al. Computer-aided prognosis of neuroblastoma on whole-slide images: Classification of stromal development [J]. Pattern Recognition, 2009, 42(6): 1093-1103.
[14] Li L, Lao S Y, Fieguth P W, et al. Median Robust Extended Local Binary Pattern for Texture Classification[J]. IEEE Transactions on Image Processing, 2016, 25(3): 1368-1381.
[15] Noskov M V, Tutatchikov V S. Modification of a Two-Dimensional Fast Fourier Transform Algorithm by the Analog of the Cooley-Tukey Algorithm for a Rectangular Signal [J]. Pattern Recognition and Image Analysis, 2015, 25, (1): 81-83.