[PDF][PDF] 大数据下机械智能故障诊断的机遇与挑战

雷亚国, 贾峰, 孔德同, 林京, 邢赛博 - 机械工程学报, 2018 - qikan.cmes.org
机械故障是风力发电设备, 航空发动机, 高档数控机床等大型机械装备安全可靠运行的“潜在杀手”
. 故障诊断是保障机械装备安全运行的“杀手锏”. 由于诊断的装备量大面广, 每台装备测点多 …

A survey on fault diagnosis approaches for rolling bearings of railway vehicles

G Yan, J Chen, Y Bai, C Yu, C Yu - Processes, 2022 - mdpi.com
This paper reviews the current research status of rolling bearing fault diagnosis technology
for railway vehicles. Several domains are covered, including vibration fault diagnosis …

A survey of mechanical fault diagnosis based on audio signal analysis

L Tang, H Tian, H Huang, S Shi, Q Ji - Measurement, 2023 - Elsevier
Mechanical fault diagnosis is one of the important technologies in the fourth industrial
revolution. In recent years, mechanical fault diagnosis based on audio signal analysis …

Learning attention representation with a multi-scale CNN for gear fault diagnosis under different working conditions

Y Yao, S Zhang, S Yang, G Gui - Sensors, 2020 - mdpi.com
The gear fault signal under different working conditions is non-linear and non-stationary,
which makes it difficult to distinguish faulty signals from normal signals. Currently, gear fault …

A general multi-objective optimized wavelet filter and its applications in fault diagnosis of wheelset bearings

S Yang, X Gu, Y Liu, R Hao, S Li - Mechanical Systems and Signal …, 2020 - Elsevier
Optimal wavelet filter is a commonly used and effective tool for bearing fault diagnosis. To
locate the informative frequency band for extracting fault-induced repetitive transients, the …

Adaptive fault feature extraction from wayside acoustic signals from train bearings

D Zhang, M Entezami, E Stewart, C Roberts… - Journal of Sound and …, 2018 - Elsevier
Wayside acoustic detection of train bearing faults plays a significant role in maintaining
safety in the railway transport system. However, the bearing fault information is normally …

Chemical characteristics and source apportionment of PM2. 5 using PMF modelling coupled with 1-hr resolution online air pollutant dataset for Linfen, China

Y Li, B Liu, Z Xue, Y Zhang, X Sun, C Song, Q Dai… - Environmental …, 2020 - Elsevier
The chemical species in PM 2.5 and air pollutant concentration data with 1-hr resolution
were monitored synchronously between 15 November 2018 and 20 January 2019 in Linfen …

Perspectives on railway axle bearing condition monitoring

M Entezami, C Roberts, P Weston… - Proceedings of the …, 2020 - journals.sagepub.com
Defects in railway axle bearings can affect operational efficiency, or cause in-service
failures, damaging the track and train. Healthy bearings produce a certain level of vibration …

Multi-bearing weak defect detection for wayside acoustic diagnosis based on a time-varying spatial filtering rearrangement

S Zhang, Q He, K Ouyang, W Xiong - Mechanical Systems and Signal …, 2018 - Elsevier
Abstract The wayside Acoustic Defective Bearing Detector (ADBD) system plays an
important role in ensuring the safety of railway transportation. However, Doppler distortion …

Development of acoustic denoising learning network for communication enhancement in construction sites

Z Peng, Q Kong, C Yuan, R Li, HL Chi - Advanced Engineering Informatics, 2023 - Elsevier
This paper presents a novel denoising approach based on deep learning and signal
processing to improve communication efficiency. Construction activities take place when …