Haoqi Wang

• Zhengzhou University of Light Industry

Deep learning algorithms are increasingly applied in equipment condition monitoring. However, scarcity of fault samples in wind turbine gearboxes significantly hinders diagnostic accuracy in practical industrial scenarios. To address this challenge, this paper studied a new method based on SVM feature selection and Conditional Generative Adversaria...

In accordance with the actual production circumstances of enterprises, a scheduling problem model is designed for open-shop environments, considering AGV transport time. A Q-learning-based method is proposed for the resolution of such problems. Based on the characteristics of the problem, a hybrid encoding approach combining process encoding and AG...

Flexible job shops motivated by small batches and multiple orders require the collaboration of machines and automated guided vehicles (AGVs) scheduling to boost shop floor flexibility and productivity. The joint scheduling of machines and AGVs can better achieve global optimization. However, joint scheduling requires two NP hard problems to be solv...

Imbalanced data cause low recognition of wind turbine blade cracking. Existing data-level augmentation methods, including sampling and generative strategies, may yield lots of high-confidence but low-value samples, which fail to improve the detection of blade cracking. Therefore, this paper designs a novel RTAE (roundtrip auto-encoder) method. Base...

In this paper, we proposed a crack identification method in which the extended finite element method (XFEM) and a surrogate model are employed. The XFEM is used for accurate modeling of fractures, while the employment of Latin hypercube sampling (LHS) ensures a representative sample space for the input parameters. Then, we use a Kriging surrogate m...

Integrated process planning and scheduling (IPPS) is important for modern manufacturing companies to achieve manufacturing efficiency and improve resource utilization. Meanwhile, multiple objectives need to be considered in the realistic decision-making process for manufacturing systems. Based on the above realistic manufacturing system requirement...

Arc-welding robots are widely used in the production of automotive bracket parts. The large amounts of fumes and toxic gases generated during arc welding can affect the inspection results, as well as causing health problems, and the product needs to be sent to an additional checkpoint for manual inspection. In this work, the framework of a robotic-...

Welding parts completeness detection for automotive body-in-white mainly relies on artificial detection and sensor detection. Due to the lack of intelligent methods, it is difficult to achieve accurate detection. This paper presents a new intelligent detection method based on improved YOLOX in the digital twin environment. Firstly, to address the p...

Safety management is fundamental for ensuring human-centered manufacturing as defined by Industry 5.0, which requires the integration of knowledge-driven, human-machine-environmental safety. However, three challenges need to be addressed to fill the gap between contemporary workshop safety management and the expected requirement: insights into the...

As energy plays a fundamental role in our modern life and most of a building’s energy is used for air conditioning, understanding the sustainable regulation theory of central air conditioning remains a significant scientific issue. In view of three shortcomings of existing energy-saving regulation methods of central air conditioning: (1) few studie...

The integration of process planning and job shop scheduling is of great significance to improve the performance of manufacturing system. Many studies on integrating process planning and scheduling problem focused on static workshop environment. However, there are a lot of uncertain factors in the workshop that need to be dealt with. Therefore, this...

Human-robot collaboration (HRC) combines the robot’s mechanical properties and predictability with human experience, logical thinking, and strain capabilities to alleviate production efficiency. However, ensuring the safety of the HRC process in-real time has become an urgent issue. Digital twin extends functions of virtual models in the design pha...

Despite significant advances in auto-encoder (AE) based intelligent fault diagnosis recently, their assumption of high-quality sensor data is unrealistic due to noisy environment. Aiming at such problem, this work proposes a novel ensemble orthogonal contractive auto-encoder (EOCA) method to improve diagnosis accuracy. By designing a new cost funct...

Background: Digital twin requires virtual reality mapping and optimization iteration between physical devices and virtual models. The mechanical movement data collection of physical equipment is essential for the implementation of accurate virtual and physical synchronization in a digital twin environment. However, the traditional approach relying...

While Model-Based Systems Engineering (MBSE) improves the ambiguity problem of the conventional document-based way, it brings management complexity. Faced with the complexity, one of the core issues that companies care about is how to effectively evaluate, predict, and manage it in the early system design stage. The inaccuracy of contemporary compl...

Integrated Process Planning and Scheduling (IPPS) problem is an urgent problem to be solved in manufacturing system. In green manufacturing mode, there are also some green indicators to be considered in the process planning stage and scheduling stage, such as energy consumption and carbon emissions. In this paper, the mathematical model of the Gree...

When using boundary element analysis for thin walled structures, to ensure the computational accuracy, special considerations on the singular and nearly singular integrals are indispensible. The real issue about the singular and nearly singular integrals is how to remove the near singularity (for singular and nearly singular integrals) and singular...

Model‐Based Systems Design (MBSD) formalizes the application of system modeling. However, it is still difficult for designers to implement MBSD in practice. One of the challenges is to make the field of design more unified, as different MBSD methodologies focus on specific areas, and various designers from different areas use ambiguous terms. Moreo...

The axiomatic design approach is integrated with model-based systems design so that a unified systems design approach axiomatic model based systems design (A-MBSD) for complex engineering systems is proposed. Systems behaviors like use cases, activities and interactions is combined in Axiomatic Design forming a new behavior domain to bridge system...

A B S T R A C T Change propagation potentially affects many aspects of a SysML-based system model during the iterative process of Model-Based Systems Engineering (MBSE). However, few authors have addressed the implication of engineering change and its impact. To address having a successful change process, this article analyzes and explicitly repres...

Design of large-scale engineering systems such as an automobile, satellite, or airplane is a process to satisfy requirements by making various decisions. Design axioms provide system designers with a theoretical background to make right decisions. However, the axiomatic systems design is still hard to be implemented in the real word due to its info...

A fundamental challenge for engineers when applying the MBSE (Model-based Systems Engineering) is to analyze complex design problems in an effective way and to represent a complex system with complete models. Aiming at providing an efficient design problem analyzing process and general modeling framework, this paper proposed an Axiomatic Design The...

Wall thickness has a direct impact on the appearance, performance and cost of a part, wall thickness analysis is important (sometimes essential) to examine and improve the manufacturability of a part after the design is complete. The current method of wall thickness analysis in pro/Engineering environment is to establish equally spaced cross-sectio...

For sustainable manufacturing, energy consumption, air and waste emission, and environmental impact of product and process are analyzed in product and process development. The sustainability assessment is realized based on complete, structured information models of product, process and manufacturing resources, which are proposed in this paper. Afte...