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Article
Publication date: 27 August 2024

Xiaobao Chai, Jinglin Liu, RuiZhi Guan and Minglang Xiao

To improve the output torque density of the machine and to be better suited for automation applications, this paper aims to propose a double-permanent-magnet enhanced hybrid…

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Abstract

Purpose

To improve the output torque density of the machine and to be better suited for automation applications, this paper aims to propose a double-permanent-magnet enhanced hybrid stepping machine (DPMEHSM) with tangential and radial magnetization.

Design/methodology/approach

First, the structure of DPMEHSM is introduced and its operation principle is analyzed by describing the variation in stator poles versus time. Second, based on the similar electrical load and amount of PM, the size equations of the DPMEHSM are designed and the main parameters are presented. Third, the electromagnetic performances including the PM flux linkage distribution, magnetic density distribution, air-gap field, back electromotive force (back-EMF), detent torque, holding torque and output torque of DPMEHSM and stator-PM hybrid stepping machine (SPMHSM) are analyzed based on the finite element method.

Findings

The results show that the DPMEHSM has superiority in back-EMF, holding torque and output torque.

Originality/value

This paper proposes a DPMEHSM with tangential and radial magnetization to improve the output torque density.

Details

COMPEL - The international journal for computation and mathematics in electrical and electronic engineering , vol. 43 no. 5
Type: Research Article
ISSN: 0332-1649

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Article
Publication date: 26 June 2018

Samuel Fosso Wamba, Shahriar Akter and Marc de Bourmont

Big data analytics (BDA) gets all the attention these days, but as important—and perhaps even more important—is big data analytics quality (BDAQ). Although many companies realize…

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Abstract

Purpose

Big data analytics (BDA) gets all the attention these days, but as important—and perhaps even more important—is big data analytics quality (BDAQ). Although many companies realize a full return from BDA, others clearly struggle. It appears that quality dynamics and their holistic impact on firm performance are unresolved in data economy. The purpose of this paper is to draw on the resource-based view and information systems quality to develop a BDAQ model and measure its impact on firm performance.

Design/methodology/approach

The study uses an online survey to collect data from 150 panel members in France from a leading market research firm. The participants in the study were business analysts and IT managers with analytics experience.

Findings

The study confirms that perceived technology, talent and information quality are significant determinants of BDAQ. It also identifies that alignment between analytics quality and firm strategy moderates the relationship between BDAQ and firm performance.

Practical implications

The findings inform practitioners that BDAQ is a hierarchical, multi-dimensional and context-specific model.

Originality/value

The study advances theoretical understanding of the relationship between BDAQ and firm performance under the influence of firm strategy alignment.

Details

Business Process Management Journal, vol. 25 no. 3
Type: Research Article
ISSN: 1463-7154

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