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The capacitive inductance parameters of the energy storage motor windings were calculated by finite element method, and the high-frequency equivalent model of the winding …
Modern condition monitoring and industrial fault prediction have advanced to include intelligent techniques, aiming to improve reliability, productivity, and safety. The …
5 · At 0.05 s, a grounding fault simulation signal was applied to point C of the output positive bus of the photovoltaic energy storage DC/DC converter. The changes in the …
It can detect the fault in less than half of the fundamental period. In voltage signal-based methods, the motor phase voltage, line voltage, etc. are directly measured, and faults are detected based on the variations from reference voltages.
Machine learning tools are being used in electric motor drive mechanical fault detection as well as for other types of fault detection. In, mixed eccentricity offline fault detection is investigated based on large data with a wide variety. An analytical model (AM) of Electromotive force (EMF) was used to generate the samples.
Electric motors are indispensable electrical equipment in ships, with a wide range of applications. They can serve as auxiliary devices for propulsion, such as air compressors, …
Flywheel Energy Storage Motor Phase-Loss Model Two types of fault-tolerant topologies have been studied for fault-tolerant PMSMs: three-phase four-bridge arm [17,18] and three-phase...
The FW rotor with a permanent magnet synchronous motor (PMSM) is suspended at the equilibrium positions in radial and axial directions. Fig. 1(c) shows the forces …
An orthogonal DWT was applied to vibration signals to obtain energy signals, and it was used for rolling bearings fault detection, which has fast and accurate detection of the early-stage faults in . Using a search coil is another reliable method to detect motor faults, especially ITSF, demagnetization and air–gap eccentricity faults.
The air-gap eccentricity of motor rotor is a common fault of flywheel energy storage devices. Consequently, this paper takes a high-power energy storage flywheel rotor …
With the burgeoning adoption of electric vehicles (EVs) and the imperative for robust fault detection systems within their motor drive systems, this research delves into the …
1 INTRODUCTION 1.1 Motivation. A good opportunity for the quick development of energy storage is created by the notion of a carbon-neutral aim. To promote the accomplishment of …
The EV''s power train and energy storage, namely the electric motor drive and battery system, are critical components that are susceptible to different types of faults. Failure to detect and address these faults in a timely …
Energy storage can realise the bi-directional regulation of active and reactive power, which is an important means to solve the challenge . Energy storage includes pumped …
Based on the current signal of the energy storage motor, this paper realizes rapid diagnosis of six conditions: motor voltage increase, motor voltage decrease, energy storage spring stuck, …
To solve the problem of a low signal-to-noise ratio of fault signals and the difficulty in effectively and accurately identifying the fault state in the early stage of motor …
The FDD methods for battery faults are similarly classified into three main groups, model-based, signal processing and data-driven, with the same principles mentioned in the electric motor drive FDD methods. Usually, the parameters used for battery fault detection are voltage, current and temperature.
Diagram of the flywheel energy storage motor''s fault-tolerant control system based on the three-phase four-bridge arm architecture. Simulation parameters of flywheel …
Flywheel energy storage system, as a high-efficiency physical energy storage method, has superior performance in the field of regenerative braking for urban rail vehicles. As an energy …
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