Intelligent fault diagnosis of worm gearbox based on adaptive CNN using amended gorilla troop optimization with quantum gate mutation strategy

Vashishtha, Govind; Chauhan, Sumika; Kumar, Surinder; Kumar, Rajesh; Zimroz, Radoslaw; Kumar, Anil

doi:10.1016/j.knosys.2023.110984

Cited by 24 publications

(10 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The Particle Swarm Optimization (PSO) is known for its simplicity and efficiency in global optimization, however, its performance might be hindered by sensitivity to parameter settings [16]. Gorilla Troop Optimization(GTO) for Convolution Neural Network (CNN) enhanced exploration and global optimization, however, its limitation is sensitivity to parameter variation [17]. The Boosting Salp Swarm algorithm is robust against noise and is efficient but the algorithm faces challenges such as limited literature and fewer established benchmarks, so the requirement is to tune very carefully [18].…”

Section: Introductionmentioning

confidence: 99%

ANFIS-based FOPID controller to enhanced stability of cascaded converter for electric vehicle (EV) charger

Gupta,

Singh

2024

Eng. Res. Express

View full text Add to dashboard Cite

In an electric vehicle (EV) charger system, a two-stage conversion process is integrated and cascaded with a voltage source converter (VSC) and a Dual active bridge converter (DAB). These impedances VSC outputs impedance (ZoutVSC(s)) and DAB have input impedance (ZinDAB(s)) interact, leading to voltage fluctuation and power loss. To address the cascaded converter's impedance interaction, the modified controller that combines an adaptive Neuro-fuzzy inference system (ANFIS) based fractional order proportional integral derivative (FOPID) controller is used with effective active damping (AD). The modified controller (ANFIS+FOPID+AD) uses ANFIS’s skills to capture and predict the system's nonlinear behaviour, using its trained data to guide the FOPID’s parameter. The presence of AD ensures the sorting out of impedance interaction problems. Compared to the PID controller, the FOPID controller includes two more degrees of freedom and offers superior adaptability and performance. The effectiveness of the modified controller is tested via frequency response analysis and time domain simulations. Time domain simulations underscore the advantage of the modified controller (ANFIS+FOPID+AD), revealing a remarkable 30% settling time and a 25% overshoot compared to the (FOPID+AD) controller. It is better regarding flexibility, faster response time, and improved system stability. The system performance has been validated and compared by simulation process and HIL technique OPAL RT OP44512.

show abstract

Section: Introductionmentioning

confidence: 99%

ANFIS-based FOPID controller to enhanced stability of cascaded converter for electric vehicle (EV) charger

Gupta,

Singh

2024

Eng. Res. Express

View full text Add to dashboard Cite

show abstract

“…Thyroid hormones act on almost all nucleated cells and play vital roles in the body [ 2 , 3 ]. The regulation of thyroid hormones is associated with a variety of substances such as sodium/iodide isotransporter protein (NIS), thyroglobulin (TG), thyroid peroxidase (TPO), monoiodotyrosine (MIT), diiodotyrosine (DIT) and μ-Crystallin (CRYM) [ 4 – 8 ]. New studies have found that klotho protein is associated with the development of thyroid tumours [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

Serum klotho associated with thyroid hormone in adults: A population-based cross-sectional research

Zhang,

Liu,

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

Background and study aim The klotho protein, a multifunctional protein, has been shown to be associated with a wide range of endocrine diseases and has been linked to thyroid tumourigenesis. However, the relationship between serum klotho levels and thyroid hormones remains poorly understood. This study aimed to explore the correlation between serum klotho levels and thyroid hormones. Methods Data was obtained from the NHANES cycles 2007–2008, 2009–2010, and 2011–2012. A total of 4674 participants were recruited for this study. Statistical analysis was using multiple linear regression analyses, and restricted cubic spline plots (RCS) to investigate the association between serum klotho levels and serum levels of thyroid hormones. Results In the unadjusted covariate model, ln(klotho) significantly positively correlated with tT3, tT4, fT3, tT4/fT4, and tT3/fT3 (all P<0.01) and negatively correlated with TSH, tT4/tT3, and fT4/fT3 (all P<0.05). Furthermore, tT3, tT4, fT3and tT3/fT3 (P < 0.05) were still significant in the adjusted model. And it is worth noting that there is an approximately L-shaped nonlinear relationship between ln(klotho) and fT3,tT3 with a cut-off point of 6.697 (P-non-linear < 0.05). The stratification analysis showed gender and iodine level differences in the relationship between serum Klotho levels and thyroid hormones. Conclusion There is an L-shaped nonlinear relationship between ln(klotho) and fT3, tT3, suggesting that klotho could be involved in the physiological regulation of thyroid function.

show abstract

“…Meta-heuristic methodologies have garnered considerable attention due to their exceptional ability to tackle these complex quandaries, presenting resilient and adaptable optimization resolutions. Recently, researchers have widely used different techniques for fault identification such as gorilla troop optimization [ 40 ], sine cosine algorithm [ 41 ], evolutionary-based optimization approaches [ 42 ], and adaptive chirp mode decomposition [ 43 ]. These approaches harness advanced algorithms to explore extensive search spaces, successfully unveiling solutions that are either highly accurate or optimal, even when dealing with complex, multifaceted, and nonlinear problem domains.…”

Section: Introductionmentioning

confidence: 99%

An adaptive metaheuristic optimization approach for Tennessee Eastman process for an industrial fault tolerant control system

Mustafa,

Ahmed,

Basit

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

The Tennessee Eastman Process (TEP) is widely recognized as a standard reference for assessing the effectiveness of fault detection and false alarm tracking methods in intricate industrial operations. This paper presents a novel methodology that employs the Adaptive Crow Search Algorithm (ACSA) to improve fault identification capabilities and mitigate the occurrence of false alarms in the TEP. The ACSA is an optimization approach that draws inspiration from the observed behavior of crows in their natural environment. This algorithm possesses the capability to adapt its search behavior in response to the changing dynamics of the optimization process. The primary objective of our research is to devise a monitoring strategy that is adaptable in nature, with the aim of efficiently identifying faults within the TEP while simultaneously minimizing the occurrence of false alarms. The ACSA is applied in order to enhance the optimization of monitoring variables, alarm thresholds, and decision criteria selection and configuration. When compared to traditional static approaches, the ACSA-based monitoring strategy is better at finding faults and reducing false alarms because it adapts well to changes in process dynamics and disturbances. In order to assess the efficacy of our suggested methodology, we have conducted comprehensive simulations on the TEP dataset. The findings suggest that the monitoring strategy based on ACSA demonstrates superior fault identification rates while concurrently mitigating the frequency of false alarms. In addition, the flexibility of ACSA allows it to efficiently manage process variations, disturbances, and uncertainties, thereby enhancing its robustness and reliability in practical scenarios. To validate the effectiveness of our proposed approach, extensive simulations were conducted on the TEP dataset. The results indicate that the ACSA-based monitoring strategy achieves higher fault detection rates while simultaneously reducing the occurrence of false alarms. Moreover, the adaptability of ACSA enables it to effectively handle process variations, disturbances, and uncertainties, making it robust and reliable for real-world applications. The contributions of this research extend beyond the TEP, as the adaptive monitoring strategy utilizing ACSA can be applied to other complex industrial processes. The findings of this study provide valuable insights into the development of advanced fault detection and false alarm monitoring techniques, offering significant benefits in terms of process safety, reliability, and operational efficiency.

show abstract

Intelligent fault diagnosis of worm gearbox based on adaptive CNN using amended gorilla troop optimization with quantum gate mutation strategy

Cited by 24 publications

References 35 publications

ANFIS-based FOPID controller to enhanced stability of cascaded converter for electric vehicle (EV) charger

ANFIS-based FOPID controller to enhanced stability of cascaded converter for electric vehicle (EV) charger

Serum klotho associated with thyroid hormone in adults: A population-based cross-sectional research

An adaptive metaheuristic optimization approach for Tennessee Eastman process for an industrial fault tolerant control system

Contact Info

Product

Resources

About