Results 11 to 20 of about 60,233 (294)
An intelligent compound gear-bearing fault identification approach using Bessel kernel-based time-frequency distribution [PDF]
Metrology and Measurement Systems, 2023 The most crucial transmission components utilized in rotating machinery are gears and bearings. In a gearbox, the bearings support the force acting on the gears.
Athisayam Andrews, Kondal Maniseka
doaj +1 more source
Improved DCNN Based on Multi-Source Signals for Motor Compound Fault Diagnosis
Machines, 2022 Induction motors, the key equipment for rotating machinery, are prone to compound faults, such as a broken rotor bars and bearing defects. It is difficult to extract fault features and identify faults from a single signal because multiple fault features ...
Xiaoyun Gong +4 more
doaj +1 more source
Sensors, 2023 Gearboxes are one of the most widely used speed and power transfer elements in rotating machinery. Highly accurate compound fault diagnosis of gearboxes is of great significance for the safe and reliable operation of rotating machinery systems.
Qinghong Xu +4 more
doaj +1 more source
An improved Autogram and MOMEDA method to detect weak compound fault in rolling bearings
Mathematical Biosciences and Engineering, 2022 When weak compound fault occurs in rolling bearing, the faint fault features suffer from serious noise interference, and different type faults are coupled together, making it a great challenge to separate the fault features.
Xuyang Xie +6 more
doaj +1 more source
Shock and Vibration, 2021 This paper investigates a method to dynamically model compound faults on the inner and outer rings of an angular contact ball bearing as well as their effects on its dynamic behavior.
Lihai Chen +6 more
doaj +1 more source
Machines, 2022 Intelligent fault diagnosis gives timely information about the condition of mechanical components. Since rolling element bearings are often used as rotating equipment parts, it is crucial to identify and detect bearing faults.
Venish Suthar +3 more
doaj +1 more source
Legendre Multiwavelet Transform and Its Application in Bearing Fault Detection
Applied Sciences, 2023 Bearing failures often result from compound faults, where the characteristics of these compound faults span across multiple domains. To tackle the challenge of extracting features from compound faults, this paper proposes a novel fault detection method ...
Xiaoyang Zheng +3 more
doaj +1 more source
Improved Adaptive Hybrid Compensation for Compound Faults of Non-Gaussian Stochastic Systems
IEEE Access, 2019 This study investigates an adaptive estimation and hybrid parallel distribution compensation for non-Gaussian stochastic systems with actuator-sensor compound faults.
Kaiyu Hu, Changyun Wen, Aili Yusup
doaj +1 more source
IEEE Access, 2020 This paper presents a hybrid fault-tolerant control (FTC) method to handle actuator-sensor compound faults in non-Gaussian uncertain stochastic systems with approximation errors.
Kaiyu Hu, Aili Yusup, Zian Cheng, Yue Wu
doaj +1 more source
Local Moment Instability of Os in Honeycomb Li2.15Os0.85O3. [PDF]
, 2018 Compounds with honeycomb structures occupied by strong spin orbit coupled (SOC) moments are considered to be candidate Kitaev quantum spin liquids. Here we present the first example of Os on a honeycomb structure, Li2.15(3)Os0.85(3)O3 (C2/c, a = 5.09 Å ...
Dessau, DS +8 more
core +2 more sources