Motor current signature analysis (MCSA) has been widely used for fault diagnosis of induction motors (IMs) because its non-invasiveness and comparatively low cost. However, the spectral leakage fundamental supply frequency can obscure characteristic component when IMs operating at no-load or low-load conditions. In this paper, a broken rotor bar (BRB) approach based on third-order energy operator (TOEO) demodulated signals is presented. The TOEO performs effectively in reducing negative...

Abstract Time-varying digital coding metasurfaces have garnered significant attention due to their ability achieve flexible and continuous control over harmonics through the design of sequences. These important applications in wireless communications, radar detection, biomonitoring. However, majority existing time-varying are reflective design, leading an inevitable masking effect at location feed source. Therefore, there is urgent need explore transmissive that enable harmonics. In this...

Background Herpes zoster severely impacts patients’ quality of life and therapeutic results. This research utilized data from the FDA Adverse Event Reporting System (FAERS) to examine prevalence attributes drug-induced herpes zoster. Methods We analyzed FAERS reports about Q1 2004 Q3 2024 developed a list possible pathogenic agents. Ranked 30 medicines with greatest incidence reported cases. Statistical disproportionality analysis was employed identify an elevated reporting frequency linked...

Induction motors (IMs) are widely used in agricultural, industrial, and commercial applications. Bearing faults one of the most common causes breakdown IMs. Motor current signature analysis (MCSA) is becoming a popular tool for bearing fault detection because its cost effectiveness noninvasiveness. However, when motor operates under low‐load lower load conditions, MCSA cannot be to detect outer raceway influence supply frequency component spectrum leakage, eccentricity harmonics, other...

The study empirically examines the impact of firm digital transformation (DT) on performance Chinese-listed enterprises in areas environmental, social, and governance (ESG) from 2013 to 2022. We utilized OLS, IV 2SLS causal mediating effect, moderating effect models analyze linkages deep mechanisms between corporate DT ESG performance. empirical findings demonstrate that (i) has an effectively positive firms' ESG; (ii) enhances by enhancing information transparency (TRANS), fostering green...

Chaotic ant swarm algorithm is a novel optimization method, which has the ability of global optimum search. This paper proposes new parameter estimation method for induction motor based on chaotic algorithm. The problem converted to could be solved via A numerical simulation test conducted. Simulation results show that proposed effective in motor.

This paper presents a new blind watermarking algorithm based on lifting wavelet transform and scrambling technology. In this the watermark image is scrambled by Arnold transform, original decomposed three levels transform. Three high frequency coefficients of corresponding locations in same level are sorted, come into being several sub-sections. The defined eigenvalue different sub-sections, as information embedded different. can be extracted according to eigenvalues. And method proved have...

Broken rotor bars fault detection in inverter-fed squirrel cage induction motors is still as difficult the dynamics introduced by control system or dynamically changing excitation (stator) frequency. This paper introduces a novel diagnosis techniques using motor current signature analysis (MCSA) to solve problems. Switching function concept and frequency modulation theory are firstly used model signal. The competency of amplitude sideband components at frequencies (<mml:math...

Inspired by behaviors of real ants nature, we develop a novel optimization method in this letter, called CAS (chaotic ant swarm), which is chaotic version to describe our adaptation the behavior individual and intelligent organization actions colony solution problems. Our includes both effects dynamics swarm-based search. It deterministic process different from conventional algorithm. The nonlinear proposed have been analyzed.

This paper presents a kind of blind watermarking algorithm based on lifting wavelet transform. According to the peculiarities human visual system, important coefficients first principle is adopted in proposed algorithm. The selects high-frequency adaptively, and modifies these according watermark values make defined eigenvalue different sub-zone. can be extracted blindly locations eigenvalues. And this method proved have good sightlessness robustness identifiable characteristic under many...

Receiver-Spoofer (RS) is a means of Global Navigation Satellite System (GNSS) spoofing that the least likely to be found at present. It can accomplish process without interrupting receiver tracking state. The required signal ratio very low, so it difficult detected in terms anomaly power detection and other traditional anti-spoofing methods. However, RS will cause distortion code loop after entering receiver. By using this feature, trace method based on Ratio Metric effectively detect RS,...

As a representative of new generation biometrics, vein identification technology offers high level security and convenience. Convolutional neural networks (CNNs), prominent class deep learning architectures, have been extensively utilized for identification. Since their performance robustness are limited by small Effective Receptive Fields (e.g. 3$\times$3 kernels) insufficient training samples, however, they unable to extract global feature representations from images in an effective...

Motor Current Signal Analysis (MCSA) approach based on fast Fourier transform (FFT) has been widely used in induction motor broken rotor bars (BRBs) detection and diagnosis. FFT can extract meaningful characteristic information but inherent drawback such as low resolution frequency domain. This paper proposes a high-resolution spectral analysis technique extended Prony's method to resolve the problem. Firstly, data preprocessing for single phase stator current is implemented by Hilbert...

Fourier transformation (FT) and Multiple Signal Classification (MUSIC) method suffer the insufficient ability in diagnosing broken rotor bar (BRB) fault using short-time data. Theoretical simulation analyses show that Optimum Resolution of Prescient Direction (ORPD) algorithm has best frequency resolution performance due to a priori knowledge. The main objective this paper is detect BRB faults induction machines condition monitoring architecture based on ORPD algorithm. In proposed...