|
|
|
|
|
|
| Spectral Oil Condition Monitoring Data Selection Method for Mechanical Transmission Based on Information Entropy |
| YAN Shu-fa, ZHU Yuan-chen, TAO Lei, ZHANG Yong-gang, HU Kai, REN Fu-chen |
Automotive Research Institute, China National Heavy Duty Truck Group, Jinan 250101, China
|
|
|
|
|
Abstract In mechanical transmission, the wear debris produced from different friction couplings is uniformly mixed in lubrication oil, which is a slow degradation process that can be observed by oil spectral analysis. The wear debris in a sample can be categorized into 15 groups of concentration (e.g., Fe, Cu and Mo) in parts per thousand using MOA II (atomic emission spectroscopy) during the sampling epochs. Its level is one of the most common data types used to monitor and evaluate the underlying health state. However, not all the oil spectral data can show the same degradation pattern. Only parts of the spectral oil data can provide useful information for degradation degree characterization. Using all the spectral oil data for condition monitoring will result in unreasonable degradation modeling for condition monitoring and unscheduled maintenance afterwards. Therefore, this article proposes a selection of degradation data based on information entropy to determine the appropriate degradation data for degradation modeling and remaining useful life prediction. Compared with the experiential selection method, the proposed method can characterize the degradation information contained in the multiple spectral oil dataset, leading to a quantitatively selecting the degradation data. The proposed method was verified through a case study involving a degradation dataset of multiple spectral oil data sampled from a power-shift steering transmission (PSST). The result shows that the proposed method can better characterize the degradation degree, which leads to an accurate estimation of the failure time when the transmission no longer fulfills its function.
|
|
Received: 2021-07-24
Accepted: 2021-08-30
|
|
|
|
[1] Zhu X, Zhong C, Zhe J. Tribology International, 2017, 109: 473.
[2] Hong W, Wang S, Tomovic M M, et al. IEEE Transactions on Reliability, 2017, 66(1): 161.
[3] LIU Yong, MA Biao, ZHENG Chang-song, et al(刘 勇，马 彪，郑长松，等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2015, 35(9): 2620.
[4] Ma B, Yan S, Zheng C, et al. Eksploatacja i Niezawodnosc-Maintenance and Reliability, 2020, 22(3): 520.
[5] Kumar S, Dolev E, Pecht M. Microelectronics Reliability, 2010, 50(2): 161.
[6] Luukka P. Expert Systems with Applications, 2011, 38(4): 4600.
[7] Yan S, Ma B, Zheng C, et al. International Journal of Automotive Technology, 2019, 20(5): 989.
[8] ZHENG Chang-song, FENG Fu-zhou, ZHANG Li-xia, et al(郑长松, 冯辅周, 张丽霞，等). Armored Vehicle Fault Diagnosis Technology(装甲车辆故障诊断技术). Beijing: Beijing Institute of Technology Press(北京：北京理工大学出版社), 2019.
[9] Yan S, Ma B, Zheng C. Eksploatacja i Niezawodnosc-Maintenance and Reliability, 2019, 21(1): 137.
[10] Shannon C E. Bell System Technical Journal, 1948, 27(3): 379.
[11] Wang H, Pottie G, Yao K, et al. IEEE International Symposium on Information Processing in Sensor Networks. 2004: 36.
[12] Yan S, Ma B, Zheng C. IEEE Access, 2019, 7: 44087.
[13] Liu D, Pang J, Zhou J, et al. Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing). IEEE, 2012: 1.
[14] Willmott C J. Bulletin of the American Meteorological Society, 1982, 63(11): 1309.
|
| [1] |
LI Si-yuan, JIAO Jian-nan, WANG Chi*. Specular Reflection Removal Method Based on Polarization Spectrum
Fusion and Its Application in Vegetation Health Monitoring[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3607-3614. |
| [2] |
YAN Shu-fa, MA Biao, ZHENG Chang-song*. Condition-Based Maintenance for Power-Shift Steering Transmission Based on Oil Spectral Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(11): 3470-3474. |
| [3] |
GAO Shuang, LUAN Xiao-li*, LIU Fei. Near Infrared Spectroscopy Process Pattern Fault Detection Based on Mutual Information Entropy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(06): 1736-1741. |
| [4] |
CAO Kai1, ZHAO Zhong1*, YUAN Hong-fu2, LI Bin2. Identification of Pure Cotton and Mercerized Cotton Fabrics Based on 2-D Correlation Spectra Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(05): 1653-1660. |
| [5] |
YAN Shu-fa1, MA Biao1, ZHENG Chang-song1*, ZHU Li-an2, CHEN Jian-wen2, LI Hui-zhu1. Remaining Useful Life Prediction of Power-Shift Steering Transmission Based on Uncertain Oil Spectral Data[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(02): 553-558. |
| [6] |
GUO Hui1,2, YANG Ke-ming1*, ZHANG Wen-wen1, LIU Cong1, XIA Tian1. Spectra Recognition of Corn Pollution Degree under Copper and Lead Ion Stress[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(01): 212-217. |
| [7] |
PENG Dan, YUE Jin-xia, BI Yan-lan. Information Extraction of Near Infrared Spectra for Complex Samples Based on Wavelet Packet Transform and Entropy Theory[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(11): 3409-3413. |
| [8] |
LIU Yong1, 2, MA Biao1, ZHENG Chang-song1*, XIE Shang-yu3 . Failure Prediction of Power-Shift Steering Transmission Based on Oil Spectral Analysis with Wiener Process [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2015, 35(09): 2620-2624. |
| [9] |
LIU Yong1, 2, MA Biao1, ZHENG Chang-song1*, LI Shun-chang1，3 . Research and Evaluation on Wear in Power-Shift Steering Transmission Through Oil Spectral Analysis with RKPCA Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2015, 35(05): 1370-1375. |
| [10] |
YANG Ke-ming, LIU Shi-wen, WANG Lin-wei, YANG Jie, SUN Yang-yang, HE Dan-dan. An Algorithm of Spectral Minimum Shannon Entropy on Extracting Endmember of Hyperspectral Image[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2014, 34(08): 2229-2233. |
| [11] |
SUN Lei1, JIA Yun-xian1, CAI Li-ying2, LIN Guo-yu1, ZHAO Jin-song1, 3 . Research on Engine Remaining Useful Life Prediction Based on Oil Spectrum Analysis and Particle Filtering[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33(09): 2478-2482. |
| [12] |
CHEN Zao-xin1, XU Yong-qun2*, CHEN Xiao-kang2, HUANG Dong-lan2, LU Wen-guan2 . Study on Infrared Spectrum Change of Ganoderma Lucidum and Its Extracts[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33(05): 1206-1210. |
| [13] |
CAI Jiang-hui1,2, MENG Wen-jun2, SUN Shi-wei3, ZHAO Xu-jun1, ZHANG Ji-fu1 . Rapid Identification of Variable Star Spectrum Based on Information Entropy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2012, 32(01): 255-258. |
| [14] |
XU Chao，ZHANG Pei-lin，REN Guo-quan，LI Bing，YANG Ning . Research on Monitoring Mechanical Wear State Based on Oil Spectrum Multi-Dimensional Time Series Model [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2010, 30(11): 2902-2905. |
| [15] |
LIU Tao, TIAN Hong-xiang*, GUO Wen-yong . Application of PCA to Diesel Engine Oil Spectrometric Analysis [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2010, 30(03): 779-782. |
|
|
|
|
