Zhiqiang WangLeonardo da Vinci Engineering School | ESILV · Faculty of Mechanical Engineering
Zhiqiang Wang
Doctor of Engineering
Associate professor in Ecole Supérieur d'Ingénieur Léonard De-Vinci. Domaine: Smart manufacturing, Industrie 4.0
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14
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Introduction
Zhiqiang Wang currently works at Ecole Supérieur d'Ingénieurs Léonard de Vinci as an associate professor. His research domain are Smart manufacturing, Machine Learning, Deep learning, Digital twin and Machining.
Publications
Publications (14)
Fault analysis (FA) is the process of collecting and analyzing data to determine the cause of a failure. It plays an important role in ensuring the quality in manufacturing process. Traditional FA techniques are time-consuming and labor-intensive, relying
heavily on human expertise and the availability of failure inspection equipment. In semiconduc...
In the context of Industry 4.0, large volumes of manufacturing data are available on instrumented machine-tool. The critical point is the exploitation of this digital content. Data contextualization is important for efficient and robust data mining, particularly for industrial production. For this purpose, a classification method of the operational...
In the semiconductor industry, Failure Analysis (FA) is an investigation to determine the root causes of a failure. It also involves an intermediate analysis to build the steps of the failure analysis in order to mitigate future failures and to facilitate the future FA. In the framework of the FA 4.0 project, the reporting system records three item...
Les machines-outils intelligentes gérèrent de nombreuses données et l'exploration de ces données peut faciliter la prise de décision en matière de gestion opérationnelle. Une sélection fine des données pertinentes, basée sur le contexte d'usinage, est nécessaire pour un calcul précis des indicateurs clés de performance (KPIs). Il s'agit d'une étape...
In the general context of Industry 4.0, large volumes of manufacturing data are available on instrumented machine-tools. They are interesting to exploit not only to improve machine-tool performances but also to support the decision making for the operational
management. This thesis aims at proposing a decision-aid system for intelligent and connect...
This paper addresses the problems of data management and analytics for decision-aid by proposing a new vision of Digital Shadow (DS) which would be considered as the core component of a future Digital Twin. Knowledge generated by experts and artificial intelligence, is transformed into formal business rules and integrated into the DS to enable the...
Intelligent machine-tools generate a large amount of digital data. Data mining can support decision making for operational management. The first step in a data mining approach is the selection of relevant data. Raw data must, therefore, be classified into different groups of contexts. This paper proposes a contextual classification pro-
cedure in m...
Dans le contexte général de l'Industrie 4.0, une entreprise de fabrication moderne dispose de nombreuses données numériques qui pourraient être utilisées pour rendre les machines-outils plus intelligentes et faciliter la prise de décision en matière de gestion opérationnelle. L'une des premières étapes de l'approche d'exploration de données est la...
Dans le contexte général de l'Industrie 4.0, une entreprise de fabrication moderne dispose de nombreuses données numériques qui pourraient être utilisées pour rendre les machines-outils plus intelligentes et faciliter la prise de décision en matière de gestion opérationnelle. L'une des premières étapes de l'approche d'exploration de données est la...
High speed machining (HSM) is widely used for the manufacturing of aircraft structures, turbine blades, etc. It greatly increases the efficiency and automation for the machining. However, in HSM, operators cannot detect incidents when they manage several machines of a production cell. Robust monitoring systems are required to protect the machine to...
High speed machining (HSM) is widely used for the manufacturing of aircraft structures, turbine blades, etc. It greatly increases the efficiency and automation for the machining. However, in HSM, operators cannot detect incidents when they manage several machines of a production cell. Robust monitoring systems are required to protect the machine to...
Reproducible operation at high performances of superconducting cavities is required for linear accelerators. High beta elliptical cavities are thus of concern and, to achieve required performances for such resonators, surface preparation including electropolishing is recommended. We have designed and operate a setup for electropolishing in the vert...