Generalised fuzzy local information C-means clustering algorithm

Krinidis, Stelios; Krinidis, Michail

doi:10.1049/el.2012.3304

Cited by 14 publications

(10 citation statements)

References 5 publications

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“…[25][26][27] Implementing this appropriate technique, the number of states and the capacity of each state (centre) can be determined. This method categorizes input data X = [x1, x2,…,xn] into m fuzzy states minimizing the objective function is presented in Equation (34) 28,29 :…”

Section: Impacts Of the Change Of The Tidal Level On The Produced Pmentioning

confidence: 99%

The impact of tidal height variation on the reliability of barrage‐type tidal power plants

Ghaedi

Mirzadeh

2020

Int Trans Electr Energ Syst

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Summary Increase in the penetration level of renewable resources results in the development of new approaches to assess the impacts of these variable resources on the power network. Large‐scale barrage‐type tidal generation units can integrate to the power network for reliability improvement. For reliability analysis of a power system containing these plants, a reliability model is developed. This model is considered the components' failure and also the output power variation arisen from the change of the tidal height should be developed. For this purpose, a multi‐state reliability model considering variation of tidal height that affects components failure rate and also the value of generated power is developed. The failure rate of components including transformer, turbine, cable, generator and electrical converter is dependent on the tidal height and turbine velocity. The paper is focused on the developing a thermal model for each component. Based on the temperature rise of the components, the associated variable failure rate is calculated from the Arrhenius law. The multi‐state reliability model of barrage‐type tidal energy conversion system considering variable failure rate of components is utilized to study the generation power systems adequacy based on the analytical and Monte Carlo approaches. This model is also utilized for reliability assessment of composite power system containing barrage‐type tidal power plants. Considering variable failure rate of components results in a more accurate reliability model for tidal power plant. Based on this model, the effects of different tidal patterns on the reliability indices can accurately be studied.

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Section: Impacts Of the Change Of The Tidal Level On The Produced Pmentioning

confidence: 99%

The impact of tidal height variation on the reliability of barrage‐type tidal power plants

Ghaedi

Mirzadeh

2020

Int Trans Electr Energ Syst

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“…Using this robust method, the proper number, centres and the range of tidal power states can be obtained. This technique categorises object data X = [x 1 , x 2 , …, x n ] into m fuzzy clusters minimising the following objective function [25,26]:…”

Section: Effects Of the Uncertain Nature Of The Tidal Height On Genermentioning

confidence: 99%

Adequacy studies of power systems with barrage‐type tidal power plants

Mirzadeh

Simab

Ghaedi

2019

IET Renewable Power Generation

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Tidal as renewable energy is increasingly utilised for power generation in many countries. Integration of tidal plants into the power system requires considering the intermittent nature of the generated power caused by variable tide levels. Thus, the reliability studies of power systems including high tidal generation affected by the uncertain nature resulting from the variable water levels are investigated. The reliability model of a tidal power plant on a barrage is proposed. In the proposed model, the failure rates of the composed components (especially the hydro pump and gate) and the effect of tidal height variation on the components failure rate are considered. Also, the reliability model with numerous states resulting from the variability of the generated power through the fuzzy C-means clustering technique and Xie-Beni index is reduced to a multi-state reliability model. The resulting reliability model is utilised for the generation adequacy studies of a power system containing large-scale tidal power plants. Moreover, different reliability indices are calculated for future generation expansion planning. The proposed technique is applied to the two-test systems, and sensitivity analysis is performed. Besides, the effects of the hydro pump, maintenance, ageing of the components and peak load are investigated.

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“…So the fuzzy clustering algorithm achieved many applications in many areas. For example, in [4] a generalization method of the fuzzy local information C-means clustering algorithm was proposed in order to be applicable to any kind of input data sets instead of images. Mansoori proposed a novel fuzzy rule-based clustering algorithm (FRBC), which could employ a supervised classification approach to do the unsupervised cluster analysis [3].…”

Section: Introductionmentioning

confidence: 99%

An indirect tire identification method based on a two-layered fuzzy scheme

Zhang

Xie

et al. 2015

IFS

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Abstract. While the heights and numbers of tires in the assembly line are changing, the traditional methods are difficult to identify the types of the tires, so an indirect tire identification method is proposed to identify the types of the tires, which uses the widths of the tires, the diameters and the shapes of the hubs to classify the tires. First, the tires are identified according to the widths and diameters by using the fuzzy C-means clustering algorithm. Second, the shapes of the hubs are used to distinguish the tires with similar dimensions. Finally, a two-layered fuzzy scheme is designed to identify the tires. Experimental results show that the two-layered fuzzy scheme is more effective than the fuzzy C-means clustering algorithm. And the proposed indirect tire identification method can achieve an accuracy of above 99.9% in the assembly line of tires.

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Generalised fuzzy local information C-means clustering algorithm

Cited by 14 publications

References 5 publications

The impact of tidal height variation on the reliability of barrage‐type tidal power plants

The impact of tidal height variation on the reliability of barrage‐type tidal power plants

Adequacy studies of power systems with barrage‐type tidal power plants

An indirect tire identification method based on a two-layered fuzzy scheme

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