Prognostics and health management: A review of vibration based bearing and gear health indicators

D Wang, KL Tsui, Q Miao - Ieee Access, 2017 - ieeexplore.ieee.org
Prognostics and health management is an emerging discipline to scientifically manage the
health condition of engineering systems and their critical components. It mainly consists of …

The entropy algorithm and its variants in the fault diagnosis of rotating machinery: A review

Y Li, X Wang, Z Liu, X Liang, S Si - Ieee Access, 2018 - ieeexplore.ieee.org
Rotating machines have been widely used in industrial engineering. The fault diagnosis of
rotating machines plays a vital important role to reduce the catastrophic failures and heavy …

[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 …

[HTML][HTML] Fault diagnosis in industrial rotating equipment based on permutation entropy, signal processing and multi-output neuro-fuzzy classifier

S Rajabi, MS Azari, S Santini, F Flammini - Expert systems with …, 2022 - Elsevier
Rotating equipment is considered as a key component in several industrial sectors. In fact,
the continuous operation of many industrial machines such as sub-sea pumps and gas …

A novel optimized SVM classification algorithm with multi-domain feature and its application to fault diagnosis of rolling bearing

X Yan, M Jia - Neurocomputing, 2018 - Elsevier
Sensitive feature extraction from the raw vibration signal is still a great challenge for
intelligent fault diagnosis of rolling bearing. Current fault classification framework generally …

A novel bearing fault diagnosis model integrated permutation entropy, ensemble empirical mode decomposition and optimized SVM

X Zhang, Y Liang, J Zhou - Measurement, 2015 - Elsevier
This paper presents a novel hybrid model for fault detection and classification of motor
bearing. In the proposed model, permutation entropy (PE) of the vibration signal is …

CEEMD-fuzzy control energy management of hybrid energy storage systems in electric vehicles

Y Shen, J Xie, T He, L Yao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
To improve the performance of the energy storage system of electric vehicles, a complete
ensemble empirical mode decomposition-fuzzy logic control energy management strategy is …

Rolling bearing fault detection and diagnosis based on composite multiscale fuzzy entropy and ensemble support vector machines

J Zheng, H Pan, J Cheng - Mechanical Systems and Signal Processing, 2017 - Elsevier
To timely detect the incipient failure of rolling bearing and find out the accurate fault location,
a novel rolling bearing fault diagnosis method is proposed based on the composite …

Intelligent fault diagnosis of rotating machinery using improved multiscale dispersion entropy and mRMR feature selection

X Yan, M Jia - Knowledge-Based Systems, 2019 - Elsevier
Intelligent fault diagnosis of rotating machinery is essentially a pattern recognition problem.
Meanwhile, effective feature extraction from the raw vibration signal is an important …

Intelligent bearing fault diagnosis method combining mixed input and hybrid CNN-MLP model

V Sinitsin, O Ibryaeva, V Sakovskaya… - Mechanical Systems and …, 2022 - Elsevier
Rolling bearings are one of the most widely used bearings in industrial machines. The
technical condition of the rolling bearings has a significant impact on the total condition of …