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 …
A review of machine learning for the optimization of production processes
Due to the advances in the digitalization process of the manufacturing industry and the
resulting available data, there is tremendous progress and large interest in integrating …
resulting available data, there is tremendous progress and large interest in integrating …
[PDF][PDF] 机械故障诊断基础研究“何去何从”
王国彪， 何正嘉， 陈雪峰， 赖一楠 - 机械工程学报, 2013 - qikan.cmes.org
机械故障诊断是一门起源于20 世纪60 年代的新兴学科, 其突出特点是理论研究与工程实际应用
紧密结合. 该学科经过半个世纪的发展逐渐成熟, 在信号获取与传感技术, 故障机理与征兆联系 …
紧密结合. 该学科经过半个世纪的发展逐渐成熟, 在信号获取与传感技术, 故障机理与征兆联系 …
A breathalyzer for the assessment of chronic kidney disease patients' breathprint: Breath flow dynamic simulation on the measurement chamber and experimental …
R Kalidoss, S Umapathy… - … Signal Processing and …, 2021 - Elsevier
Chemical sensor technologies with appropriate chamber design influence the kinetic
adsorption of exhaled breath. Moreover, emphasize on feature extraction from breathprint …
adsorption of exhaled breath. Moreover, emphasize on feature extraction from breathprint …
Wavelet transform based on inner product in fault diagnosis of rotating machinery: A review
J Chen, Z Li, J Pan, G Chen, Y Zi, J Yuan… - Mechanical systems and …, 2016 - Elsevier
As a significant role in industrial equipment, rotating machinery fault diagnosis (RMFD)
always draws lots of attention for guaranteeing product quality and improving economic …
always draws lots of attention for guaranteeing product quality and improving economic …
Challenges, advances and future trends in AC microgrid protection: With a focus on intelligent learning methods
Increasing power demand, aging distribution systems and concerns towards greenhouse
gas emissions have resulted in the increased occurrence of distributed generation (DG) …
gas emissions have resulted in the increased occurrence of distributed generation (DG) …
Toward non-intrusive load monitoring via multi-label classification
Demand-side management technology is a key element of the proposed smart grid, which
will help utilities make more efficient use of their generation assets by reducing consumers' …
will help utilities make more efficient use of their generation assets by reducing consumers' …
Sparsity guided empirical wavelet transform for fault diagnosis of rolling element bearings
Rolling element bearings are widely used in various industrial machines, such as electric
motors, generators, pumps, gearboxes, railway axles, turbines, and helicopter …
motors, generators, pumps, gearboxes, railway axles, turbines, and helicopter …
Wavelets behind the scenes: Practical aspects, insights, and perspectives
RC Guido - Physics Reports, 2022 - Elsevier
Over the years, wavelet-based analyses have been responsible for remarkable
achievements in physics and related sciences. Nevertheless, a deep inspection on wavelet …
achievements in physics and related sciences. Nevertheless, a deep inspection on wavelet …
Heterogeneous feature models and feature selection applied to bearing fault diagnosis
TW Rauber, F de Assis Boldt… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Distinct feature extraction methods are simultaneously used to describe bearing faults. This
approach produces a large number of heterogeneous features that augment discriminative …
approach produces a large number of heterogeneous features that augment discriminative …