Prognostics and health management: A review of vibration based bearing and gear health indicators
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 …
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
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 …
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 …
. 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
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 …
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 …
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 …
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 …
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 …
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 …
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 …
technical condition of the rolling bearings has a significant impact on the total condition of …