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This study presents a new method for the detection of faults in large transformer cores. It is based on the analysis of leakage flux components in the vicinity of the sheet stack. The purpose of this study is to provide a nondestructive analysis tool for transformer cores during the assembly process to detect accidental defects such as inter-laminar short circuits.

The different components of the leakage flux allow localization of the fault in the stack and also permit to assess its severity. Out of the many kinds of defects which may appear in a transformer core, this method only detects those which actually cause an increase in the transformer’s global iron losses, which are thus the most detrimental.

The proposed method allows a more efficient control of the quality of the cores during their manufacturing process. Until now, it was only possible to know the quality of the core when the transformer was fully assembled.

The accuracy of the method depends on the size of the defect and may request many measurements to give usable information.

Controlling iron losses in a core during its construction avoids heavy dismantling operations, both financially and temporally.

This method can help transformer manufacturers optimize their building process. In addition, the method remains effective regardless of the size of the core considered.

An unspoken issue of increasing priority in architectural education is the under developed differentiation between architecture and technology. Almost all of the qualifications whereby an architect is prepared for and is permitted to practice professionally are technological parameters. But architecture is not technology. Architecture is, however, both protected by and obscured thru technology being in the forefront that means it is both of benefit and a hindrance.

Architecture being undifferentiated from technology and named in terms of technology thus allows the issue to stay safely within the pragmatic assertion of professionalism that is set up during an education mainly controlled by the profession. Within that is a nascent architectural impulse that resides largely unspoken but which is nonetheless evolved and evolving and shared. The unrevealed architecture generates an aura of the mysterious and the radical which that contributes a greatly to the intensity of mundane and well known work.

This paper examines how architectural technology obviates a space of differentiation within architecture, which may be examined phenomenologically in terms of the essence of humanity, whereby architecture has an original ontological correlation with human aspiration. This will be supported with the well known — for brevity — theoretical and practical examples around the work of Heidegger, Louis I. Kahn. Along with phenomenology, we will introduce philosophies of spiritual practice collectively called rajayoga. The latter is a millennia long experiment with well documented research into human aspiration. The paper concludes with examples of architecture presencing this space of differentiation and suggests the implications on the profession of an education that scan develop the super-ordinate program that is architectural practice.

This study analyzes whether power in the supply chain, based on governance modes and network centrality, explain financial performance at different levels of analysis: buyers, suppliers and dyads.

The study employs a dual macro-micro lens based on global value chain (i.e. market, modular, relational and captive governance modes) and social network analysis (network centrality) to assess the impact of power (im)balance onto financial performance. Different from previous research, this study adopts information reliability techniques – such as information entropy – to differentiate the weights of distinct financial performance metrics in terms of the maximal entropy principle. This principle states that the probability distribution that best represents the current state of knowledge given prior data is the one with largest entropy. These weights are used in TOPSIS analysis.

Results offer insightful reflections to SCM research. We show that buyers outperform suppliers due to power asymmetry. We ground our findings both analyzing across governance modes and comparing network centrality. We show that market and modular governances (where power balance prevails) outperform relational and captive modes at the dyadic level – thus inferring that in the long run these governance modes may lead to financially healthier supply chains.

This study advances SCM research by exploring the impact of governance modes and network centrality on performance at both firm and dyadic levels while employing an innovative combination of secondary data and robust set of techniques including TOPSIS, WASPAS and information entropy.