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A multi-sensor relation model for recognizing and localizing faults of machines based on network analysis

《机械工程前沿（英文）》 2023年第18卷第2期 doi: 10.1007/s11465-022-0736-9

摘要： Recently, advanced sensing techniques ensure a large number of multivariate sensing data for intelligent fault diagnosis of machines. Given the advantage of obtaining accurate diagnosis results, multi-sensor fusion has long been studied in the fault diagnosis field. However, existing studies suffer from two weaknesses. First, the relations of multiple sensors are either neglected or calculated only to improve the diagnostic accuracy of fault types. Second, the localization for multi-source faults is seldom investigated, although locating the anomaly variable over multivariate sensing data for certain types of faults is desirable. This article attempts to overcome the above weaknesses by proposing a global method to recognize fault types and localize fault sources with the help of multi-sensor relations (MSRs). First, an MSR model is developed to learn MSRs automatically and further obtain fault recognition results. Second, centrality measures are employed to analyze the MSR graphs learned by the MSR model, and fault sources are therefore determined. The proposed method is demonstrated by experiments on an induction motor and a centrifugal pump. Results show the proposed method’s validity in diagnosing fault types and sources.

关键词： fault recognition fault localization multi-sensor relations network analysis graph neural network

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Fault diagnosis of axial piston pumps with multi-sensor data and convolutional neural network

《机械工程前沿（英文）》 2022年第17卷第3期 doi: 10.1007/s11465-022-0692-4

摘要： Axial piston pumps have wide applications in hydraulic systems for power transmission. Their condition monitoring and fault diagnosis are essential in ensuring the safety and reliability of the entire hydraulic system. Vibration and discharge pressure signals are two common signals used for the fault diagnosis of axial piston pumps because of their sensitivity to pump health conditions. However, most of the previous fault diagnosis methods only used vibration or pressure signal, and literatures related to multi-sensor data fusion for the pump fault diagnosis are limited. This paper presents an end-to-end multi-sensor data fusion method for the fault diagnosis of axial piston pumps. The vibration and pressure signals under different pump health conditions are fused into RGB images and then recognized by a convolutional neural network. Experiments were performed on an axial piston pump to confirm the effectiveness of the proposed method. Results show that the proposed multi-sensor data fusion method greatly improves the fault diagnosis of axial piston pumps in terms of accuracy and robustness and has better diagnostic performance than other existing diagnosis methods.

关键词： axial piston pump fault diagnosis convolutional neural network multi-sensor data fusion

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Water quality soft-sensor prediction in anaerobic process using deep neural network optimized by Tree-structured

《环境科学与工程前沿（英文）》 2023年第17卷第6期 doi: 10.1007/s11783-023-1667-3

摘要：

● Hybrid deep-learning model is proposed for water quality prediction.

关键词： Water quality prediction Soft-sensor Anaerobic process Tree-structured Parzen Estimator

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A feasibility study of the measuring accuracy and capability of wireless sensor networks in tunnel monitoring

Xiaojun LI, Zhong JI, Hehua ZHU, Chen GU

《结构与土木工程前沿（英文）》 2012年第6卷第2期页码 111-120 doi: 10.1007/s11709-012-0150-1

摘要： Fire disasters and the deterioration of tunnel structures are major concerns for tunnel operation and maintenance. Traditional wired monitoring systems have many drawbacks in terms of installation time, overall cost, and flexibility in tunnel environments. In recent years, there has been growing interest in the use of wireless sensor networks (WSNs) for the monitoring of various structural monitoring applications. This paper evaluated the feasibility of applying a WSN in the monitoring of tunnels. The monitoring requirements of tunnels under explosion and combustion fire scenarios are analyzed using numerical simulation, and the maximum possible distance for temperature sensors is derived. The displacement monitoring of tunnels using an inclinometer is investigated. It is recommended that the inclinometer should be installed in the 1/4 span of the tunnel structure. The maximum wireless transmission distances in both outdoor and tunnel environments were examined. The influences of surface materials and sensor node locations on the data transmission distance in tunnel environments were also investigated. The experimental results show that the data loss in tunnel environments is approximately three times that in outdoor environments. Surface material has a considerable influence on the transmission distance of radio signals. The distance is 25 ? 28 m for a raw concrete surface, 20 m for a brick surface, and 36 m for a terrazzo surface. The transmission distances along the middle of quarter points are approximately 0.9 ( is the transmission distance in the center of the tunnel), and the relative error is less than±3%. The transmission distances at different locations along the bottom exhibit significant differences, decreasing from the middle to the corner point, with distances of approximately 0.8 at the quarter points and minimum distances of approximately 0.55 at the corner points.

关键词： wireless sensor network (WSN) tunnel monitoring feasibility study

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office workers’ staying and workstation attributes in a non-territorial office using ultra wide band sensornetwork

Xinnan ZHANG, Takashi IZATO, Junzo MUNENOTO, Daisuke MATSUSHITA, Tetsu YOSHIDA

《结构与土木工程前沿（英文）》 2010年第4卷第4期页码 438-449 doi: 10.1007/s11709-010-0076-4

摘要： This paper investigates the staying and moving characteristics of office workers in a non-territorial office using an ultra wide band (UWB) impulse radio sensor network. The differences between office workers’ staying and moving are clarified according to the individual workstation type that they select. The study determines the characteristics of each type of workstation. By clarifying office workers’ preference for staying and moving with regard to individual workstation types and office worker post, the reasons why office workers in different posts tended to select different types of workstations were revealed. Specifically, leaders tended to select workstations at the “inner meeting corner side” most frequently, as they had a greater need to stay in other areas. In contrast, ordinary staff needed to visit office workers in other areas less often, and as such, they tended to select individual workstations at the “middle meeting corner side.” Barring this, they tended to select individual workstations at the “middle corridor side” or “outer-meeting corner side.” Temporary staff members had little need to visit or stay at other places so they tended to select individual workstations at the “window side,” which is seldom visited or stayed at by other office workers and they could be disturbed less often from their solo work.

关键词： workplace non-territorial office staying behavior ultra wide band (UWB) sensor network

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潜在用于单侧膝受伤患者的传感引导步态同步下肢外骨骼 Research Articles

王东海1,2

《信息与电子工程前沿（英文）》 2022年第23卷第6期页码 920-936 doi: 10.1631/FITEE.2000465

摘要：

本文展示了一种可潜在帮助单侧膝受伤患者正常行走的传感引导步态同步下肢外骨骼系统。外骨骼能够减轻人体体重对受伤膝下肢的负载，并维持与健康侧下肢行走步态摆动相同步。传感引导步态同步系统集成了人体传感网络，它能感知健康侧下肢的运动步态。基于测量的关节角度轨迹引导，安装电机的髋关节在行走中提起腿杆，并将膝受伤步态和健康步态以半周期延时进行同步。实验验证了下肢外骨骼的效果。本文比较了健康腿和膝受伤腿的测量关节角度轨迹、仿真的膝受力、人机交互力等方面，结果说明髋关节安装电机受控制的下肢外骨骼能够将受伤腿和体重支撑外骨骼的融合步态与健康腿步态进行同步。

关键词：传感引导；下肢外骨骼；人体传感网络；步态同步；体重支撑

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基于遗传算法的传感器网络拓扑控制研究

刘林峰,庄艳艳,刘业

《中国工程科学》 2008年第10卷第2期页码 66-71

摘要：

无线传感器网络的首要设计目标是延长网络生命期，网络的拓扑控制是实现这一目标的支撑基础。针对传统拓扑控制方案所获拓扑的连通冗余度高或结构健壮性低等弊端，将问题转化为多判据最小生成树模型，提出了一种基于遗传算法的拓扑控制方案。仿真实验结果表明，该方案可获得具有网络整体功耗低、结构健壮性高和节点间通信干扰小等特点的拓扑结构，因而能够有效地延长传感器网络生命期。

关键词：无线传感器网络拓扑控制多判据最小生成树问题遗传算法

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油气田监测高性能微传感器及数字化系统

赵玉龙,牛喆,周冠武,赵立波,蒋庄德

《中国工程科学》 2013年第15卷第1期页码 99-105

摘要：

针对油气田特殊环境要求，介绍了一种高温高压传感器芯片的设计及加工制造方法，并研发了相关的高性能数字变送系统。所设计的高温高压传感器芯片解决了传统压阻式传感器在高温高压环境下的热稳定性问题，通过数字补偿技术进一步提升了其系统的线性度与精度，并针对油气田监测环境扩展了其相关外围设备。同时，为了适应油气田管监测理要求，设计了相关无线传感网络，以确保其工业生产的高效运行和有效控制。通过具体实验测试数据，验证了该油气田监测高性能微传感器及数字化系统的高精度及高可靠性，该系统的精度达到0.2 % FS及以上，达到世界先进水平，对国内的石化工业发展有着非常重要的意义。

关键词：高温高压传感器芯片高性能数字变送系统数字补偿技术无线传感网络高精度

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运用自组织竞争网络进行气体定性分析的研究

太惠玲,谢光忠,蒋亚东

《中国工程科学》 2006年第8卷第1期页码 81-84

摘要：

优选了分析H₂，CO气体的半导体气体传感器组成阵列，建立了实时数据采集系统，并与自组织竞争网络模式识别技术相结合，以进行气体定性分析的研究；同时为了消除气体浓度变化对传感器阵列输出的影响，提高自组织网络的识别效果，运用三种不同的数据归一化算法对传感器阵列的输出响应进行了预处理，并对各自对应的网络识别结果进行了分析与讨论。实验结果表明，采用相对算法可实现H₂，CO气体的准确识别。

关键词：气体传感器阵列自组织竞争网络定性分析

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基于室内传播模型的无线传感器网络节点部署策略研究

霍宏伟,郜帅,牛延超,张思东

《中国工程科学》 2008年第10卷第9期页码 64-69

摘要：

为保证在室内部署无线传感器网络节点时实现感知面积完全覆盖特定区域，在2.4 GHz的ISM频段，依据对数距离模型，分析了因天线高度不同引起的节点有效覆盖面积的变化问题，讨论了有效通信半径与有效感知半径的关系。在传统的平面节点部署方法的基础上，提出了一种考虑天线高度等环境因素的室内无线传感器网络节点快速部署方案，定义了部署规则和补充规则，从而避免了因天线高度变化而引起的感知黑洞的产生。仿真和试验结果表明该方案可以有效保证规定区域的完全覆盖，具有应用价值。

关键词：无线传感器网络通信半径感知半径感知黑洞覆盖

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Biomedical sensor technologies on the platform of mobile phones

Lin LIU, Jing LIU

《机械工程前沿（英文）》 2011年第6卷第2期页码 160-175 doi: 10.1007/s11465-011-0216-0

摘要：

Biomedical sensors have been widely used in various areas of biomedical practices, which play an important role in disease detection, diagnosis, monitoring, treatment, health management, and so on. However, most of them and their related platforms are generally not easily accessible or just too expensive or complicated to be kept at home. As an alternative, new technologies enabled from the mobile phones are gradually changing such situations. As can be freely available to almost everyone, mobile phone offers a unique way to improve the conventional medical care through combining with various biomedical sensors. Moreover, the established systems will be both convenient and low cost. In this paper, we present an overview on the state-of-art biomedical sensors, giving a brief introduction of the fundamental principles and showing several new examples or concepts in the area. The focus was particularly put on interpreting the technical strategies to innovate the biomedical sensor technologies based on the platform of mobile phones. Some challenging issues, including feasibility, usability, security, and effectiveness, were discussed. With the help of electrical and mechanical technologies, it is expected that a full combination between the biomedical sensors and mobile phones will bring a bright future for the coming pervasive medical care.

关键词： biomedical sensor pervasive technology mobile phone combined system health management

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一种有效的无线传感器网络失效链路定位方法 Article

Wen-yan CUI, Xiang-ru MENG, Bin-feng YANG, Huan-huan YANG, Zhi-yuan ZHAO

《信息与电子工程前沿（英文）》 2017年第18卷第5期页码 689-707 doi: 10.1631/FITEE.1601247

摘要：由于无线传感器网络中经常发生故障，网络故障管理对其维持正常运行状态非常重要。当前的故障定位方法通常先推断最有可能故障集，然后给出故障假设集。然而假设集中往往含有大量实际并未发生的故障。推断集中的冗余信息会大大加重故障推断的计算量，从而降低评估精度且增加故障定位时间。为了解决这个问题，本文提出了基于条件信息熵的冗余消除算法，该算法可以在保留核心信息的基础上消除大部分冗余信息。此外，还提出一种可以精确反映故障关系的概率关联故障模型，并为非确定性故障传播构建模型。通过一系列数学推导，本文将故障定位问题转化为覆盖件问题进行求解，并提出启发式算法推导故障假设集。在仿真环境和真实平台上验证了提出的方法相比现有故障定位方法的有效性。

关键词：失效链路定位；冗余消除算法；覆盖集；无线传感器网络；网络诊断

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电缆测温系统在工厂供配电系统中的应用

阎红

《中国工程科学》 2007年第9卷第11期页码 172-174

摘要：

探讨了在工矿企业中10kV高压电力电缆在线运行温度检测的必要性与实际应用；列举了感温元件的选型方法以及温度监测系统的组成与运行；介绍了信息处理软件和故障诊断专家系统软件、电力设备底层信息网、现场总线技术在电力系统中的应用；实现了不停电状态下对高压电缆及电缆接头等各种电缆的故障在线监测及诊断功能。

关键词： 10kV高压电力电缆终端头温度传感器监测系统

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Development and testing of a wireless smart toolholder with multi-sensor fusion

《机械工程前沿（英文）》 2023年第18卷第4期 doi: 10.1007/s11465-023-0774-y

摘要： The smart toolholder is the core component in the development of intelligent and precise manufacturing. It enables in situ monitoring of cutting data and machining accuracy evolution and has become a focal point in academic research and industrial applications. However, current table and rotational dynamometers for milling force, vibration, and temperature testing suffer from cumbersome installation and provide only a single acquisition signal, which limits their use in laboratory settings. In this study, we propose a wireless smart toolholder with multi-sensor fusion for simultaneous sensing of milling force, vibration, and temperature signals. We select force, vibration, and temperature sensors suitable for smart toolholder fusion to adapt to the cutting environment. Thereafter, structural design, circular runout, dynamic balancing, static stiffness, and dynamic inherent frequency tests are conducted to assess its dynamic and static performance. Finally, the smart toolholder is tested for accuracy and repeatability in terms of force, vibration, and temperature. Experimental results demonstrate that the smart toolholder accurately captures machining data with a relative deviation of less than 1.5% compared with existing force gauges and provides high repeatability of milling temperature and vibration signals. Therefore, it is a smart solution for machining condition monitoring.

关键词： wireless smart toolholder multi-sensor fusion circular runout dynamic balancing static stiffness dynamic inherent frequency

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Flexible micro flow sensor for micro aerial vehicles

Rong ZHU, Ruiyi QUE, Peng LIU

《机械工程前沿（英文）》 2017年第12卷第4期页码 539-545 doi: 10.1007/s11465-017-0427-0

摘要：

This article summarizes our studies on micro flow sensors fabricated on a flexible polyimide circuit board by a low-cost hybrid process of thin-film deposition and circuit printing. The micro flow sensor has merits of flexibility, structural simplicity, easy integrability with circuits, and good sensing performance. The sensor, which adheres to an object surface, can detect the surface flow around the object. In our study, we install the fabricated micro flow sensors on micro aerial vehicles (MAVs) to detect the surface flow variation around the aircraft wing and deduce the aerodynamic parameters of the MAVs in flight. Wind tunnel experiments using the sensors integrated with the MAVs are also conducted.

关键词： micro flow sensor flexible sensor surface flow sensing aerodynamic parameter micro aerial vehicle (MAV)