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Zhansi Jiang - IEEE Xplore Author Profile

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To address the challenges of low detection rate and high missed detection rate of military aircraft in current complex remote sensing data, and to meet the requirements of real-time detection and easy deployment of models, this article introduces DET-you only look once (YOLO), an innovative detection model. First, to tackle the issue of reduced accuracy in identifying small targets amidst intricat...Show More
To improve the detection accuracy of surface defects in dental nails in the current medical manufacturing industry, while reducing the model size and making it easy to deploy on resource-limited devices, we propose a novel model structure for detecting surface defects on dental nails, SF-Yolov8n, based on Yolov8n. Its characteristic is that the model is not only lightweight but also has high detec...Show More
Short-time Fourier transform (STFT)-based methods are widely applied in industrial areas. However, these methods are inadequate to process non-stationary signals under variable operating conditions. An improved general linear chirplet transform method is developed by iteratively upgrading the instantaneous frequency (IF) and introducing a synchrosqueezing operator simultaneously. Initially, an ite...Show More
Aiming at the efficiency optimization problem of Raymond mill classifier turbine, this paper firstly modeled cylindrical turbine before improvement and conical turbine after improvement by Solidworksl9.0, and then carried out high- quality grid division of cylindrical turbine and conical turbine by Icem grid division software. Then, Fluent19.0 was used to conduct fluid simulation analysis of gas-s...Show More
In the past, the research method of bearing fault diagnosis based on constant speed has a good effect on the steady-state signal measured under stable conditions, but it is not very effective for variable speed mechanical bearing fault. The Computed Order Tracking (COT) method normalizes the frequency by the equal angle sampling method, avoids the frequency ambiguity caused by the change of speed,...Show More
Bearing is an important part of rotating machinery. The health condition of the bearing may lead to the failure of the whole mechanical equipment. Therefore, the effective intelligent fault diagnosis method has been a research hotspot. For bearing fault diagnosis at constant speed, a variational mode decomposition optimized by the cuckoo search algorithm (CS-VMD) and Stack sparse auto encoder (SSA...Show More
Instantaneous rotational frequency is a key point symptom in the rotating machinery condition monitoring. How to acquire an accuracy instantaneous rotational frequency is a hot topic in research areas. Time-frequency analysis can be considered as a positive tool to characterize the variable speed tendency. However, limited by Heisenberg uncertainty principle or introduced cross-terms, the basicall...Show More
Developing a proper approach for extracting the fault characteristics of rolling element bearings is a significant behavior in variable operation conditions. Generally, without a tachometer, the tacholess order tracking method is well established by instantaneous rotation frequency curve estimation using time-frequency analysis. However, the fault features are often masked in strong background noi...Show More
Generators are critical components for the wind power generation system and process industries. Generating units or production lines may be shut down by generator failure. Most of the methods used in previous research have analyzed the rotor winding interturn fault in the slot location or the stator winding interturn fault in the phase location, but the doubly fed induction generator (DFIG) stator...Show More
Steering wheel vibration control is of great significance to improve the ride comfort of vehicles. However, the coupling effect of the multi-source vibration transfer path makes it difficult to screen out the abnormal vibration transfer intervals. Therefore, a multi-point iterative analysis method (MIAM) is presented in this paper. In addition, this paper researches the characteristics of the main...Show More
Heuristic search methods usually require a large amount of evolutionary iterative calculation, which has become a bottleneck for applying them to practical engineering problems. In order to reduce the number of analysis of heuristic search methods, a pareto Multi-objective Particle Swarm Optimization(MOPSO) method is presented. In this approach, pareto fitness function is used to select global ext...Show More