Smart bridge maintenance using cluster merging algorithm based on self-organizing map optimization

Chen, Jieh Haur; Su, Mu-Chun; Lin, Shu‐Yi; Lin, Wei-Jen; Gheisari, Masoud

doi:10.1016/j.autcon.2023.104913

Cited by 2 publications

(2 citation statements)

References 23 publications

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“…Smart factory [44,57,58,54,44,59,60,40] 7. Smart maintenance [45,52,44,52,61,62,63,64] This paper fills the gaps in several previous studies regarding comparative studies of several major I4.0 indices or the development of instruments to measure Industry 4.0 readiness, focusing on technological characteristics. [41], information system and technology [7], implementation of the existing I4.0 index [29,34,35], and the I4.0 comparison, which focuses on the degree of readiness [22].…”

Section: Room For Improvementmentioning

confidence: 93%

Identifying weaknesses and strengths of existing I4.0 Readiness Indices to enhance INDI 4.0

Hasbullah,

Bareduan

2023

Sinergi

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Indonesia has low Industry 4.0 (I4.0) readiness in ASEAN and has the INDI 4.0 Instrument (Indonesia Industry 4.0 Readiness Index), which is less comprehensive and accurate. An Initial survey confirmed that only 56.86% of respondents agreed that INDI 4.0 accurately measures readiness in the manufacturing industry. Unlike primary I4.0 indices, INDI 4.0 lacks comprehensive Industry 4.0 dimensions and characteristics, as many literature and other indices cover. This study aims to identify weaknesses and strengths of major I4.0 indices by comparing them to enhance INDI 4.0. This paper identified gaps in existing major I4.0 indices by scoping review method. However, each index contributes to increasing practicality, fulfilling latent needs, and expanding complementary perspectives in measuring readiness and adoption of I4.0 based on studies, viewpoints, uniqueness, and views of each. This study offered a more comprehensive perspective, especially from developing countries like Indonesia, with industries struggling to adopt I4.0 to fill loopholes in existing major indices that are generally from developed countries, so most companies in their study have advanced or implemented I4.0 and are too focused and too oriented on technology. The findings from this paper are expected to contribute to industry, practitioners, and academicians in increasing accuracy when measuring readiness toward adopting I4.0.

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Section: Room For Improvementmentioning

confidence: 93%

Identifying weaknesses and strengths of existing I4.0 Readiness Indices to enhance INDI 4.0

Hasbullah,

Bareduan

2023

Sinergi

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“…The epochal strides in space exploration and satellite deployment in recent decades have spawned myriad challenges and breakthroughs in aerospace control systems [1]. As we march into an era where space missions are not just the purview of government agencies but also private enterprises, the demand for more sophisticated control mechanisms that can maneuver nonlinear spacecraft effectively and efficiently is on the rise [2].…”

Section: Introductionmentioning

confidence: 99%

Self-Organizing Control Systems for Nonlinear Spacecraft in the Class of Structurally Stable Mappings

Abdiramanov,

Taiman,

Beisenbi

et al. 2023

IJACSA

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In recent developments within the domain of aerospace engineering, there is a burgeoning interest in the autonomous control of nonlinear spacecraft using advanced methodologies. The present research delves deep into the realm of self-organizing control systems tailored for such nonlinear spacecraft, emphasizing its application within the framework of structurally stable mappings. By harnessing the inherent characteristics of structurally stable mappingsoften renowned for their resilience to minor perturbations and local modificationsthis research endeavors to design a control mechanism that mitigates the challenges presented by the intrinsic nonlinearity of spacecraft dynamics. Initial findings suggest a commendable enhancement in spacecraft maneuverability and robustness against unforeseen disturbances. Furthermore, the employment of self-organization principles leads to an adaptive and resilient system that can reconfigure its control strategies in real-time, basing decisions on immediate environmental feedback. This adaptability, in essence, mimics biological systems that evolve and adapt in the face of challenges. Such a breakthrough in nonlinear spacecraft control not only widens the horizons for space exploration by making missions safer and more efficient but also contributes foundational knowledge to the broader field of nonlinear dynamic system controls. Researchers and practitioners are encouraged to explore this synergistic combination of self-organization and structurally stable mappings to further harness its potential in diverse arenas beyond aerospace.

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Smart bridge maintenance using cluster merging algorithm based on self-organizing map optimization

Cited by 2 publications

References 23 publications

Identifying weaknesses and strengths of existing I4.0 Readiness Indices to enhance INDI 4.0

Identifying weaknesses and strengths of existing I4.0 Readiness Indices to enhance INDI 4.0

Self-Organizing Control Systems for Nonlinear Spacecraft in the Class of Structurally Stable Mappings

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