Analysis of barriers in supplying electricity using interpretative structural modeling

Sinaga, Rusman; Prastowo,; Simangunsong, Bintang C.H.; Liebman, Ariel; Tambunan, Armansyah H.

doi:10.1016/j.esr.2019.04.011

Cited by 15 publications

(10 citation statements)

References 8 publications

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“…For a specific EMS, its structure and motion transition paths are usually constant, that is to say, the failure propagation digraph model D 1 is stable. Based on model D 1 , the failure propagation hierarchical digraph model D 2 can be constructed by analyzing the hierarchical characteristics of all nodes using the ISM method 39–41 . The model D 2 can graphically reflect the failure propagation relationships between meta actions and make the failure propagation process more distinct.…”

Section: Construction Of Failure Propagation Digraph Of Meta Actionmentioning

confidence: 99%

A failure tracing method with hierarchical digraph and meta action for complex electromechanical systems

Xiao

Huang

Zhang

et al. 2022

Quality & Reliability Eng

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As an important method for analyzing the failure pervasion mechanism, failure tracing is a powerful tool for locating the failure causes in reliability analysis of complex electromechanical systems (EMS). However, most of the previous studies mainly focus on the failure tracing and identifying of part levels, which are often complicated. Besides, they cannot reflect the product feature that motion determines product function. To fill these gaps, this paper develops a combined dynamic and static failure tracing model based on meta action and hierarchy digraph model. First, the failure propagation directed digraph is constructed based on the structure of the EMS and the interactions of action signals, and the interpretative structural model (ISM) is further applied to obtain the hierarchy failure propagation model based on the directed digraph. Second, the combined dynamic and static failure propagation intensity between meta actions is measured based on the failure propagation probability and edge betweenness, which can effectively extract the crucial pathway and crucial meta actions to facilitate failure tracing. Third, a failure mode and effect analysis (FMEA) method considering the weights of risk elements and experts is proposed to estimate the risks of the crucial meta actions’ failure modes, which can help engineers develop countermeasures for preventing or eliminating failures. Finally, a case study and several comparisons are presented to illustrate the feasibility and benefits of the developed model.

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Section: Construction Of Failure Propagation Digraph Of Meta Actionmentioning

confidence: 99%

A failure tracing method with hierarchical digraph and meta action for complex electromechanical systems

Xiao

Huang

Zhang

et al. 2022

Quality & Reliability Eng

View full text Add to dashboard Cite

show abstract

“…It is mainly used to qualitatively express the multiple feedback relationships existing among multiple elements in a complex system [31]. It has been widely used in factor analysis [32][33][34], fault detection [35], risk assessment [36], and other fields. The basic principle of this model is to decompose a complex system into several subsystems (or elements) and then use the incidence matrix principle in graph theory to quantify the complex association relationship among numerous elements on the basis of the wisdom and experience of experts.…”

Section: System Structure Constructionmentioning

confidence: 99%

Study on the Influencing Factors and Acting Path of the Sustainable Development of Rural Tourism Based on EEAM-ISM Model

Weng

Pan

2021

Sustainability

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The sustainable development of rural tourism is a complex system that includes both objective environmental factors and subjective human factors. Based on the three dimensions of “man–machine–environment”, the element event analysis method (EEAM) is introduced to identify and determine the components of the rural tourism composite system. Then, a hierarchical digraph of the rural tourism complex system is constructed by the interpretative structural model (ISM), and the logical structural relations among factors are explored to clarify the action paths. It is found that: (1) through three rounds of soliciting opinions and revising the list of factors, a total of 26 key factors affecting the sustainable development of rural tourism were screened out; (2) the influencing factors are related to each other to form a five-level factor hierarchical structure, which clearly reveals the overall structure of the system and the support dependencies among factors; (3) on the basis of clarifying the path of influencing factors, the targeted countermeasures and suggestions for the sustainable development of rural tourism are proposed for three key paths. This not only provides a certain theoretical basis for sustainable forecasting but also helps decision-makers to take targeted countermeasures.

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“…Masih terdapat 30,910 dari 78,011 rumah tangga di Kabupaten Kupang yang belum mendapatkan pasokan energi listrik dengan rasio elektrifikasi 60%. Rata-rata rumah tangga yang belum mendapatkan pasokan energi listrik tersebut berada di perdesaan terpencil yang sulit dijangkau oleh jaringan [1], pada hal salah satu sumber penghasilan utama di perdesaan Kabupaten Kupang adalah dari hasil pertanian, selain untuk penerangan dimalam hari para petani sangat berharap dapat mengoperasikan pompa air listrik untuk mendapatkan air dari sumur-sumur karena curah hujan di Kabupaten tersebut relatif kecil sepanjang tahun.…”

Section: Pendahuluanunclassified

Model Estimasi Karakteristik Modul Photovoltaic Polycrystalline dan Monocrystalline 50 Wp

Sinaga¹,

Beily²

2019

Preprint

Self Cite

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Rasio elektrifikasi di Kabupaten Kupang masih 60%. Rata-rata rumah tangga yang belum mendapatkan pasokan listrik berada di perdesaan terpencil yang sulit dijangkau oleh jaringan PLN. Alternatif yang paling baik dalam penyediaan sumber energi listrik di perdesaan Kabupaten Kupang yang belum terjangkau oleh jaringan PLN adalah menggunakan modul PV. Tujuan penelitian ini adalah untuk membandingkan efisiensi modul PV bahan monocrystalline dengan polycrystalline dan menemukan model estimasi karakteristik modul PV pada saat musim kemarau. Metode yang digunakan dalam penelitian ini adalah metode observasi yaitu melakukan pengukuran variabel SR, S, ISC dan VOC. Hasil penelitian menunjukkan bahwa modul PV monocrystalline lebih efisien dibandingkan dengan modul PV polycrystalline. Pada penggunaan modul PV monocrystalline, model estimasi persamaan regresi adalah Isc = 0.0009 SR + 1.9497 dan Voc = 28.02 - 0.2683 S. Pada penggunaan modul PV polycrystalline model estimasi persamaan regresi adalah Isc = 0.001 SR + 1.6649 dan Voc = 25.644 - 0.2196 S.

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Analysis of barriers in supplying electricity using interpretative structural modeling

Cited by 15 publications

References 8 publications

A failure tracing method with hierarchical digraph and meta action for complex electromechanical systems

A failure tracing method with hierarchical digraph and meta action for complex electromechanical systems

Study on the Influencing Factors and Acting Path of the Sustainable Development of Rural Tourism Based on EEAM-ISM Model

Model Estimasi Karakteristik Modul Photovoltaic Polycrystalline dan Monocrystalline 50 Wp

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