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Intelligent diagnosis methods for plant machinery

Huaqing WANG, Peng CHEN, Shuming WANG,

《机械工程前沿（英文）》 2010年第5卷第1期页码 118-124 doi: 10.1007/s11465-009-0084-z

摘要： This paper reports several intelligent diagnostic approaches based on artificial neural network and fuzzy algorithm for plant machinery, such as the diagnosis method using the wavelet transform, rough sets, and fuzzy neural network; the diagnosis method based on the sequential inference and fuzzy neural network; the diagnosis approach by the possibility theory and certainty factor model; and the diagnosis method on the basis of the adaptive filtering technique and fuzzy neural network. These intelligent diagnostic methods have been successfully applied to condition diagnosis in different types of practical plant machinery.

关键词： intelligent diagnosis neural network fuzzy algorithm adaptive filtering plant machinery

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low-carbon economy considering spatiotemporal differentiation: An empirical study in China’s construction machinery

《工程管理前沿（英文）》 2023年第10卷第2期页码 285-299 doi: 10.1007/s42524-022-0197-1

摘要： Although China’s construction machinery thrives to meet the needs of construction, a number of challenges still remain to be overcome, such as lack of thorough knowledge of regional disparities and several limitations in terms of carbon emissions and economic development. Meanwhile, a low-carbon economy was proposed and implemented in China. This research aims to investigate the differences in industrial agglomeration of construction machineries and further explore the relationship between industrial agglomeration and low-carbon economy. On this basis, spatiotemporal analysis was performed to evaluate the levels of industrial agglomeration in different regions based on the situations of China’s construction machinery industry. Furthermore, this study explored the interaction between industrial agglomeration and low-carbon economy utilizing the coupling coordination analysis method. Results showed that the coupling coordination of the two subsystems was extremely unbalanced in 2006, and it maintained an increasing trend, reaching a relatively high level in 2018. Finally, suggestions, such as establishing a policy guarantee system and implementing variable policies in different regions, were proposed to provide guidelines for the government decision-making and promote the sustainable development of China’s construction machinery industry.

关键词： spatiotemporal differentiation industrial agglomeration low-carbon economy construction machinery industry empirical study

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Basic research on machinery fault diagnostics: Past, present, and future trends

Xuefeng CHEN, Shibin WANG, Baijie QIAO, Qiang CHEN

《机械工程前沿（英文）》 2018年第13卷第2期页码 264-291 doi: 10.1007/s11465-018-0472-3

摘要：

Machinery fault diagnosis has progressed over the past decades with the evolution of machineries in terms of complexity and scale. High-value machineries require condition monitoring and fault diagnosis to guarantee their designed functions and performance throughout their lifetime. Research on machinery Fault diagnostics has grown rapidly in recent years. This paper attempts to summarize and review the recent R&D trends in the basic research field of machinery fault diagnosis in terms of four main aspects: Fault mechanism, sensor technique and signal acquisition, signal processing, and intelligent diagnostics. The review discusses the special contributions of Chinese scholars to machinery fault diagnostics. On the basis of the review of basic theory of machinery fault diagnosis and its practical applications in engineering, the paper concludes with a brief discussion on the future trends and challenges in machinery fault diagnosis.

关键词： fault diagnosis fault mechanism feature extraction signal processing intelligent diagnostics

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Imbalanced fault diagnosis of rotating machinery using autoencoder-based SuperGraph feature learning

《机械工程前沿（英文）》 2021年第16卷第4期页码 829-839 doi: 10.1007/s11465-021-0652-4

摘要： Existing fault diagnosis methods usually assume that there are balanced training data for every machine health state. However, the collection of fault signals is very difficult and expensive, resulting in the problem of imbalanced training dataset. It will degrade the performance of fault diagnosis methods significantly. To address this problem, an imbalanced fault diagnosis of rotating machinery using autoencoder-based SuperGraph feature learning is proposed in this paper. Unsupervised autoencoder is firstly used to compress every monitoring signal into a low-dimensional vector as the node attribute in the SuperGraph. And the edge connections in the graph depend on the relationship between signals. On the basis, graph convolution is performed on the constructed SuperGraph to achieve imbalanced training dataset fault diagnosis for rotating machinery. Comprehensive experiments are conducted on a benchmarking publicized dataset and a practical experimental platform, and the results show that the proposed method can effectively achieve rotating machinery fault diagnosis towards imbalanced training dataset through graph feature learning.

关键词： imbalanced fault diagnosis graph feature learning rotating machinery autoencoder

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New method of fault diagnosis of rotating machinery based on distance of information entropy

Houjun SU, Tielin SHI, Fei CHEN, Shuhong HUANG

《机械工程前沿（英文）》 2011年第6卷第2期页码 249-253 doi: 10.1007/s11465-011-0124-3

摘要：

This paper introduces the basic conception of information fusion and some fusion diagnosis methods commonly used nowadays in rotating machinery. From the thought of the information fusion, a new quantitative feature index monitoring and diagnosing the vibration fault of rotating machinery, which is called distance of information entropy, is put forward on the basis of the singular spectrum entropy in time domain, power spectrum entropy in frequency domain, wavelet energy spectrum entropy, and wavelet space feature entropy in time-frequency domain. The mathematic deduction suggests that the conception of distance of information entropy is accordant with the maximum subordination principle in the fuzzy theory. Through calculation it has been proved that this method can effectively distinguish different fault types. Then, the accuracy of rotor fault diagnosis can be improved through the curve chart of the distance of information entropy at multi-speed.

关键词： rotating machinery information fusion fault diagnosis Information entropy distance of the information entropy

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农机装备制造业服务型制造模式研究

罗建强,张弛

《中国工程科学》 2023年第25卷第1期页码 178-186 doi: 10.15302/J-SSCAE-2023.01.704

摘要：

农机装备制造业是确保粮食安全、助推农业现代化的重要基础。我国农机装备制造业服务型制造处于萌芽探索阶段，服务化水平落后于国际先进水平，难以满足当前农业生产、未来产业高质量发展的需要。本文基于我国农机装备制造业当前的发展现状，深度分析3家全球知名的农机装备制造企业服务化转型案例及经验，在此基础上归纳提炼了适用于我国国情的农机装备制造业服务型制造的3类模式。研究发现，农机装备制造业服务型制造模式实现具有较强的情境依赖性，服务能力是面向对象与面向组织的集成体，农机装备制造业服务型制造模式具有较强的收敛性。为此建议，加强农机装备制造产业内外合作，整合国际优势资源；培养专业农机服务队伍，塑造错位竞争优势；聚焦我国农事难题，开展技术与服务双创新。

关键词：服务型制造；制造业服务化；农机装备制造业；农事解决方案

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Carbon Quotas, Subsidies and Engineering Machinery Remanufacturing

Dong-bin Hu,Chen-xi Xiao,Xiao-hong Chen

《工程管理前沿（英文）》 2016年第3卷第1期页码 50-58 doi: 10.15302/J-FEM-2016014

摘要： Engineering machinery manufacturing and remanufacturing are significant sources of greenhouse gases. In the context of emission reduction and resource recovery, the authors analyze the impact of current carbon quota allocations and government subsidies policies on manufacturers’ profits and recovery rates in a closed-loop supply chain. A simplified model consists of two manufacturers, one retailer and a third-party recycler. The study found that carbon quotas and government subsidies can both promote the improvement of recovery rates under certain conditions, and have similar effects in regulating interest distribution between manufacturers. The combination of the two methods can effectively realize the targets of recycling and carbon emissions reduction.

关键词： competitive closed-loop supply chain government subsidies carbon quota allocation remanufacturing

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IN VITRO ACTIVITY OF EXTRACTS OF FIVE MEDICINAL PLANT SPECIES ON PLANT PATHOGENIC FUNGI

《农业科学与工程前沿（英文）》 2021年第8卷第4期页码 635-644 doi: 10.15302/J-FASE -2020343

摘要：

The antifungal effectiveness of extracts of five medicinal plant species was determined. The inhibitory activity of extracts of Eucalyptus tereticornis, Xanthium sibiricum, Artemisia argyi, Tupistra chinensis and Pyrola calliantha were evaluated against the mycelial growth of the plant pathogenic fungi Aspergillus niger, Botrytis cinerea, Penicillium digitatum, P. expansum, P. italicumand Rhizopus stolonifer. All plant extracts were prepared at 60°C using solvents (either water, 50% ethanol (v/v), 95% ethanol (v/v), ethyl acetate or petroleum ether). Fungicidal effects of all plants tested were confirmed. Different extracts from the same plant species gave different degrees of inhibition. All aqueous extracts had weak or no activity on all fungi tested. Ethyl acetate and 95% ethanol extracts from T. chinensis rhizomes gave greater inhibition and a broader spectrum inhibition than the other extracts. T. chinensis may have potential as a new natural fungicide and may be used for the preservation of agricultural and forestry products such as fruits and vegetables.

关键词： Botrytis cinerea / food preservation / plant diseases / plant pathogenic fungi / Tupistra chinensis

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工程机械控制与操纵系统的网络控制研究

李运华,杨桂林

《中国工程科学》 2005年第7卷第9期页码 25-29

摘要：

简要综述了工程机械中控制与操纵系统的发展历程和关键技术；提出了基于现场总线控制的网络控制实现功率传输和运动控制与综合的新方案；以应用于上海磁悬浮铁路工程轨道梁搬运的工程机械的计算机控制系统为例，讨论了基于现场总线控制系统(FCS)和PC104车载工控机的车辆计算机网络控制系统的设计方法和控制策略；研究结果为大型车辆与工程机械的控制与操纵提供了新的实现途径。

关键词：工程机械控制操纵网络控制

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我国煤矿煤机智能技术与装备发展研究

葛世荣,张晞,薛光辉,任怀伟,王宏伟,庞义辉,范磊

《中国工程科学》 2023年第25卷第5期页码 146-156 doi: 10.15302/J-SSCAE-2023.05.013

摘要： project: Chinese Academy of Engineering project “High Quality Development Strategy of Coal Machinery

关键词：煤机装备；智能化；关键技术；产业升级；低碳

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Goryachkin’s agricultural mechanics

Vera CHINENOVA

《机械工程前沿（英文）》 2016年第11卷第1期页码 87-94 doi: 10.1007/s11465-016-0378-x

摘要：

The paper contributes to the development of applied mechanics by establishing a new discipline, namely, agricultural mechanics by academician Vasilii Prohorovich Goryachkin (1868–1935) who was an apprentice of Nikolay Yegorovich Zhukovsky and a graduate of the Moscow University (current known as Moscow State University) and the Imperial Higher Technical School.

关键词： theory of mechanisms and machines agricultural machinery engineering agricultural mechanics

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ACTIVITY OF EXTRACTS OF FIVE MEDICINAL PLANT SPECIES ON PLANT PATHOGENIC FUNGI

Shufeng YAO, Jiali XU, Haibo ZHANG, Hong GAO, Shibin SHANG, Dan WANG

《农业科学与工程前沿（英文）》 2021年第8卷第4期页码 635-644 doi: 10.15302/J-FASE-2020343

摘要： The antifungal effectiveness of extracts of five medicinal plant species was determined. The inhibitory activity of extracts of , , , and were evaluated against the mycelial growth of the plant pathogenic fungi , , and . All plant extracts were prepared at 60°C using solvents (either water, 50% ethanol ( ), 95% ethanol ( ), ethyl acetate or petroleum ether). Fungicidal effects of all plants tested were confirmed. Different extracts from the same plant species gave different degrees of inhibition. All aqueous extracts had weak or no activity on all fungi tested. Ethyl acetate and 95% ethanol extracts from rhizomes gave greater inhibition and a broader spectrum inhibition than the other extracts. may have potential as a new natural fungicide and may be used for the preservation of agricultural and forestry products such as fruits and vegetables.

关键词： Botrytis cinerea food preservation plant diseases plant pathogenic fungi Tupistra chinensis

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国产农机装备质量评价研究——基于华中地区农户调查数据的分析

周晶,青平

《中国工程科学》 2019年第21卷第5期页码 60-66 doi: 10.15302/J-SSCAE-2019.05.019

摘要：

提高国产农机装备质量是我国农机制造由大到强的必要条件。本文在总结我国农机装备制造业发展现状和存在问题的基础上，突出实证研究，利用来自华中地区的农户调查数据，从硬件质量、适用性和操作便利性、作业效果三方面考察农户对国产农机装备质量的主观评价。结果显示，农机户对国产大中型农机装备钢材质量、发动机质量、耗油量和故障频率的满意度显著低于非国产品牌；不足一半的农机户对国内外大中型农机装备地块匹配度、驾驶员匹配度、遮阳挡雨效果持满意态度；农户对国产农机装备作业速度、作业无遗漏、节省要素的满意度偏低。立足现状、着眼长远，提出组建关键零部件克难攻坚“国家队”、搭建以企业为主体的长效技术创新体系、抢抓智能化和绿色化农机装备研发、重构高等院校农机学科体系等对策建议。

关键词：国产农机质量评价农户调查华中地区

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An introduction to the medicinal plant genome project

Shilin Chen, Li Xiang, Xu Guo, Qiushi Li

《医学前沿（英文）》 2011年第5卷第2期页码 178-184 doi: 10.1007/s11684-011-0131-0

摘要： In recent years, genomics has developed rapidly with the application of next-generation sequencing technology. However, very few studies have been carried out on genomics for medicinal plants. This paper introduces the genome research of medicinal plants, including genome sequencing, assembly, annotation, and functional genomics, to set up the foundation for the development of natural medicines and the selection of cultivars with good agricultural traits. This study places the study on traditional Chinese medicine into the frontier field of life science.

关键词： genomics medicinal plant sequencing application

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HEMIPTERAN-TRANSMITTED PLANT VIRUSES: RESEARCH PROGRESS AND CONTROL STRATEGIES

《农业科学与工程前沿（英文）》 2022年第9卷第1期页码 98-109 doi: 10.15302/J-FASE-2021389

摘要：

About 80% of plant viruses are transmitted by specific insect vectors, especially hemipterans with piercing-sucking mouthparts. Many virus-transmitting insects are also important crop pests that cause considerable losses in crop production. This review summarizes the latest research findings on the interactions between plant viruses and insect vectors and analyzes the key factors affecting insect transmission of plant viruses from the perspectives of insect immunity, insect feeding, and insect symbiotic microorganisms. Additionally, by referring to the latest applications for blocking the transmission of animal viruses, potential control strategies to prevent the transmission of insect-vectored plant viruses using RNAi technology, gene editing technology, and CRISPR/Cas9+ gene-driven technology are discussed.

关键词： control strategies / feeding / immunity / insect vector / microorganism / plant virus

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标题作者时间类型操作

Intelligent diagnosis methods for plant machinery

Huaqing WANG, Peng CHEN, Shuming WANG,

期刊论文

low-carbon economy considering spatiotemporal differentiation: An empirical study in China’s construction machinery

期刊论文

Basic research on machinery fault diagnostics: Past, present, and future trends

Xuefeng CHEN, Shibin WANG, Baijie QIAO, Qiang CHEN

期刊论文

Imbalanced fault diagnosis of rotating machinery using autoencoder-based SuperGraph feature learning