An improved incipient whale optimization algorithm based robust fault detection and diagnosis for sensorless brushless
            <scp>DC</scp>
            motor drive under external disturbances

Vanchinathan, K.; Valluvan, K. R.; Chinnaraj, Gnanavel; Chandrasekaran, Gokul; Albert, Johny Renoald

doi:10.1002/2050-7038.13251

Cited by 73 publications

(18 citation statements)

References 32 publications

(65 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The citations [30][31][32][33][34][35] are validating the vision sensor and the algorithm used in the proposed vision system. The citations [36][37][38][39][40] are validating the results and the percentage of error.…”

Section: Resultsmentioning

confidence: 99%

Up-Sampled Cross-Correlation Based Object Tracking & Vibration Measurement in Agriculture Tractor System

Ganesan¹,

Sankaranarayanan²,

Kumar³

et al. 2023

Intelligent Automation &Amp; Soft Computing

View full text Add to dashboard Cite

This research introduces a challenge in integrating and cleaning the data, which is a crucial task in object matching. While the object is detected and then measured, the vibration at different light intensities may influence the durability and reliability of mechanical systems or structures and cause problems such as damage, abnormal stopping, and disaster. Recent research failed to improve the accuracy rate and the computation time in tracking an object and in the vibration measurement. To solve all these problems, this proposed research simplifies the scaling factor determination by assigning a known real-world dimension to a predetermined portion of the image. A novel white color sticker of the known dimensions marked with a color dot is pasted on the surface of an object for the best result in the template matching using the Improved Up-Sampled Cross-Correlation (UCC) algorithm. The vibration measurement is calculated using the Finite-Difference Algorithm (FDA), a machine vision system fitted with a macro lens sensor that is capable of capturing the image at a closer range, which does not affect the quality of displacement measurement from the video frames. The field test was conducted on the TAFE (Tractors and Farm Equipment Limited) tractor parts, and the percentage of error was recorded between 30% and 50% at very low vibration values close to zero, whereas it was recorded between 5% and 10% error in most high-accelerations, the essential range for vibration analysis. Finally, the suggested system is more suitable for measuring the vibration of stationary machinery having low frequency ranges. The use of a macro lens enables to capture of image frames at very close-ups. A 30% to 50% error percentage has been reported when the vibration amplitude is very small. Therefore, this study is not suitable for Nano vibration analysis.

show abstract

Section: Resultsmentioning

confidence: 99%

Up-Sampled Cross-Correlation Based Object Tracking & Vibration Measurement in Agriculture Tractor System

Ganesan¹,

Sankaranarayanan²,

Kumar³

et al. 2023

Intelligent Automation &Amp; Soft Computing

View full text Add to dashboard Cite

show abstract

“…The solution of (3) gives the trajectory of the stator current components shown in (4), where it is assumed that the initial states are zero.…”

Section: State Bounds and Resistance Value For Smooth Synchronizationmentioning

confidence: 99%

“…Wind energy conversion systems (WECS) based on doubly fed induction generators (DFIG) have a considerable contribution to the high-power wind turbine market [2]. The majority of DFIG Based-WECS are connected to the grid due to their interesting features compared to other types of electrical generators [3][4]. Due to the same principle function, the methods developed for the case of DFIG-Based WECS are applied for the case of DFIG-Based Hydro Electric Power System (HEPS).…”

Section: Introductionmentioning

confidence: 99%

Direct and Sensorless Grid Synchronization of DFIG—Control the Availability of WECS/HEPS for Disturbed Grid Requirements

Djoudi

Bacha

Iman‐Eini

et al. 2022

J. Electr. Eng. Technol.

View full text Add to dashboard Cite

Grid integration of DFIG based-WECS/HPES has gained special attention in recent codes, especially under voltage disturbances. The main object of this requirement is to ameliorate the grid stability from the frequency point of view and increase the integration ratio of renewable energy conversion systems like WECS and HPES. The availability of such grid requirements depends heavily on the viability of the grid synchronization procedure of DFIG, which has not been thoroughly investigated under weak-grid conditions. It also depends on withstanding capacity of DFIG against over-voltages or so-called HVRT capability. In this regard, the present paper introduces a smooth and sensor-less grid synchronization strategy of DFIG under disturbed grid voltage to ensure HVRT capability. The feasibility of the proposed method is proved analytically and assessed via experimental and simulation results.

show abstract

“…is makes the population develop towards a single, prone to premature convergence. e optimal individual is mutated [4]. Individuals with high fitness before and after mutation can be used to expand the search range and improve population diversity [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

High-Performance Computing Analysis and Location Selection of Logistics Distribution Center Space Based on Whale Optimization Algorithm

Yang

Song²

2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

As a meta-heuristic algorithm based on swarm intelligence, the WOA algorithm has few control parameters and searches for the optimal solution by encircling the prey, searching for the prey, and attacking the bubble net. During the whole process, only two internal parameters A and C are utilized for the control of the exploration and development process. BWOA is simple to implement. In the process of algorithm execution, the initial population, global exploration, and local development stages have shortcomings. Therefore, it is necessary to optimize the WOA algorithm. Based on WOA, this study conducts a high-performance computing analysis and location selection of logistics distribution center space. It is concluded that: (1) by using the combination of direct logistics distribution and hierarchical logistics distribution, the WOA algorithm optimizes the cross selection strategy, the population fitness S-LO is improved, the quality of LA is guaranteed, and the chaotic S-LO mapping eliminates inferior individuals in the population. Direct distribution is carried out for bulky goods and important distribution customers, and hierarchical logistics distribution is used for customers in intensive logistics distribution destinations. (2) WOA uses the second reverse learning, chaotic mapping, and logistic chaotic mapping to improve the location update mode. The direct distribution method is mostly used for the logistics business with short journeys, fixed distribution points, and more goods delivered at one time, and logistics enterprises do not need to store and distribute goods. The uniform ergodicity of the Tent chaotic map and logistic chaotic map is improved. Ka adaptive inertia weights are a good complement to optimize the limitations of the Ao whale algorithm. (3) The inertia weight of the levy flight behavior can play a powerful role in balancing the global exploration ability and optimization performance of the intelligent algorithm. The long-term short-distance search of HED and the long-distance jump of KVAR are combined. Variant individuals undergo vector synthesis. It reduces the construction and operation costs of logistics sites and is suitable for logistics distribution under specific conditions.

show abstract

An improved incipient whale optimization algorithm based robust fault detection and diagnosis for sensorless brushless DC motor drive under external disturbances

Cited by 73 publications

References 32 publications

Up-Sampled Cross-Correlation Based Object Tracking & Vibration Measurement in Agriculture Tractor System

Up-Sampled Cross-Correlation Based Object Tracking & Vibration Measurement in Agriculture Tractor System

Direct and Sensorless Grid Synchronization of DFIG—Control the Availability of WECS/HEPS for Disturbed Grid Requirements

High-Performance Computing Analysis and Location Selection of Logistics Distribution Center Space Based on Whale Optimization Algorithm

Contact Info

Product

Resources

About