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Condition monitoring of a wind turbine generator using a standalone wind turbine emulator

Himani,Ratna DAHIYA

《能源前沿（英文）》 2016年 第10卷 第3期   页码 286-297 doi: 10.1007/s11708-016-0419-5

摘要： The intend of this paper is to give a description of the realization of a low-cost wind turbine emulator(WTE) with open source technology from graze required for the condition monitoring to diagnose rotor and stator faults in a wind turbine generator (WTG). The WTE comprises of a 2.5 kW DC motor coupled with a 1 kW squirrel-cage induction machine. This paper provides a detailed overview of the hardware and software used along with the WTE control strategies such as MPPT and pitch control. The emulator reproduces dynamic characteristics both under step variations and arbitrary variation in the wind speed of a typical wind turbine (WT) of a wind energy conversion system (WECS). The usefulness of the setup has been benchmarked with previously verified WT test rigs made at the University of Manchester and Durham University in UK. Considering the fact that the rotor blades and electric subassemblies direct drive WTs are most susceptible to damage in practice, generator winding faults and rotor unbalance have been introduced and investigated using the terminal voltage and generated current. This wind turbine emulator (WTE) can be reconfigured or analyzed for condition monitoring without the need for real WTs.

关键词： condition monitoring (CM)     wind turbine emulator (WTE)     wind turbine generator (WTG)     maximum power point tracking (MPPT)     tip speed ratio (TSR)     rotor faults     stator faults    

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Real-time tool condition monitoring method based on temperature measurement and artificial neural network

《机械工程前沿（英文）》 doi: 10.1007/s11465-021-0661-3

摘要： Tool failures in machining processes often cause severe damages of workpieces and lead to large quantities of loss, making tool condition monitoring an important, urgent issue. However, problems such as practicability still remain in actual machining. Here, a real-time tool condition monitoring method integrated in an in situ fiber optic temperature measuring apparatus is proposed. A thermal simulation is conducted to investigate how the fluctuating cutting heats affect the measuring temperatures, and an intermittent cutting experiment is carried out, verifying that the apparatus can capture the rapid but slight temperature undulations. Fourier transform is carried out. The spectrum features are then selected and input into the artificial neural network for classification, and a caution is given if the tool is worn. A learning rate adaption algorithm is introduced, greatly reducing the dependence on initial parameters, making training convenient and flexible. The accuracy stays 90% and higher in variable argument processes. Furthermore, an application program with a graphical user interface is constructed to present real-time results, confirming the practicality.

关键词： tool condition monitoring     cutting temperature     neural network     learning rate adaption    

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In-situ condition monitoring of reinforced concrete structures

Sanjeev Kumar VERMA,Sudhir Singh BHADAURIA,Saleem AKHTAR

《结构与土木工程前沿（英文）》 2016年 第10卷 第4期   页码 420-437 doi: 10.1007/s11709-016-0336-z

摘要： Performance of concrete structures is significantly influenced and governed by its durability and resistance to environmental or exposure conditions, apart from its physical strength. It can be monitored, evaluated and predicted through modeling of physical deterioration mechanisms, performance characteristics and parameters and condition monitoring of in situ concrete structures. One such study has been conducted using Non-destructive testing equipment in the city of Bhopal and around located in India. Some selected parameters influencing durability of reinforced concrete (RC) structures such as concrete cover, carbonation depth, chloride concentration, half cell potential and compressive strength have been measured, for establishing correlation among various parameters and age of structures. Effects of concrete cover and compressive strength over the variation of chloride content with time are also investigated.

关键词： concrete     carbonation     chloride     corrosion     monitoring     models    

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Distributed flexible reconfigurable condition monitoring and diagnosis technology

HU You-min, YANG Shu-zi, DU Run-sheng

《机械工程前沿（英文）》 2006年 第1卷 第3期   页码 276-281 doi: 10.1007/s11465-006-0025-z

摘要： As manufacturing becomes increasingly decentralized, flexible and reconfigurable, more research needs to be done on monitoring and diagnosis technology that accommodate these new trends. The distributed condition monitoring and diagnosis technology based on the flexible and reconfigurable concept is studied here. A condition monitoring diagnosis model based on the distributed flexible and reconfigurable idea is proposed in this paper. The component makeup and functions of this model are discussed in detail. The model can fulfill in most instances the manufacturing system requirements for changing the configuration of the monitoring diagnosis system according to different manufacturing system configurations. This model also realizes the flexibility and reconfigurability of the monitoring diagnosis system in some degree. The model has already spawned a successful prototype for monitoring a chemical plant in accomplishing monitoring and control of the production process and equipment. Finally, some future research work is pointed out.

关键词： chemical     diagnosis system     configuration     monitoring     equipment    

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Special issue: Wind turbine dynamic modeling, condition monitoring and diagnosis

Zheng YOU, Jinji GAO, Fulei CHU, Tielin SHI

《机械工程前沿（英文）》 2017年 第12卷 第3期   页码 279-280 doi: 10.1007/s11465-017-0476-4

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Overview of condition monitoring and operation control of electric power conversion systems in direct-drive

Shoudao HUANG, Xuan WU, Xiao LIU, Jian GAO, Yunze HE

《机械工程前沿（英文）》 2017年 第12卷 第3期   页码 281-302 doi: 10.1007/s11465-017-0442-1

摘要：

Electric power conversion system (EPCS), which consists of a generator and power converter, is one of the most important subsystems in a direct-drive wind turbine (DD-WT). However, this component accounts for the most failures (approximately 60% of the total number) in the entire DD-WT system according to statistical data. To improve the reliability of EPCSs and reduce the operation and maintenance cost of DD-WTs, numerous researchers have studied condition monitoring (CM) and fault diagnostics (FD). Numerous CM and FD techniques, which have respective advantages and disadvantages, have emerged. This paper provides an overview of the CM, FD, and operation control of EPCSs in DD-WTs under faults. After introducing the functional principle and structure of EPCS, this survey discusses the common failures in wind generators and power converters; briefly reviewed CM and FD methods and operation control of these generators and power converters under faults; and discussed the grid voltage faults related to EPCSs in DD-WTs. These theories and their related technical concepts are systematically discussed. Finally, predicted development trends are presented. The paper provides a valuable reference for developing service quality evaluation methods and fault operation control systems to achieve high-performance and high-intelligence DD-WTs.

关键词： direct-drive wind turbine     electric power conversion system     condition monitoring     fault diagnosis     operation control under faults     fault tolerance    

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Frontier of continuous structural health monitoring system for short & medium span bridges and condition

Ayaho MIYAMOTO, Risto KIVILUOMA, Akito YABE

《结构与土木工程前沿（英文）》 2019年 第13卷 第3期   页码 569-604 doi: 10.1007/s11709-018-0498-y

摘要： It is becoming an important social problem to make maintenance and rehabilitation of existing short and medium span(10-20 m) bridges because there are a huge amount of short and medium span bridges in service in the world. The kernel of such bridge management is to develop a method of safety(condition) assessment on items which include remaining life and load carrying capacity. Bridge health monitoring using information technology and sensors is capable of providing more accurate knowledge of bridge performance than traditional strategies. The aim of this paper is to introduce a state-of-the-art on not only a rational bridge health monitoring system incorporating with the information and communication technologies for lifetime management of existing short and medium span bridges but also a continuous data collecting system designed for bridge health monitoring of mainly short and medium span bridges. In this paper, although there are some useful monitoring methods for short and medium span bridges based on the qualitative or quantitative information, mainly two advanced structural health monitoring systems are described to review and analyse the potential of utilizing the long term health monitoring in safety assessment and management issues for short and medium span bridge. The first is a special designed mobile loading device(vehicle) for short and medium span road bridges to assess the structural safety(performance) and derive optimal strategies for maintenance using reliability based method. The second is a long term health monitoring method by using the public buses as part of a public transit system (called bus monitoring system) to be applied mainly to short and medium span bridges, along with safety indices, namely, “characteristic deflection” which is relatively free from the influence of dynamic disturbances due to such factors as the roughness of the road surface, and a structural anomaly parameter.

关键词： condition assessment     short & medium span bridge     structural health monitoring(SHM)     long-term data collection     system     maintenance     bridge performance     information technology     loading vehicle(public bus)     in-situ loading    

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Real-time monitoring of brake shoe keys in freight cars

Rong ZOU,Zhen-ying XU,Jin-yang LI,Fu-qiang ZHOU

《信息与电子工程前沿（英文）》 2015年 第16卷 第3期   页码 191-204 doi: 10.1631/FITEE.1400305

摘要： Condition monitoring ensures the safety of freight railroad operations. With the development of machine vision technology, visual inspection has become a principal means of condition monitoring. The brake shoe key (BSK) is an important component in the brake system, and its absence will lead to serious accidents. This paper presents a novel method for automated visual inspection of the BSK condition in freight cars. BSK images are first acquired by hardware devices. The subsequent inspection process is divided into three stages: first, the region-of-interest (ROI) is segmented from the source image by an improved spatial pyramid matching scheme based on multi-scale census transform (MSCT). To localize the BSK in the ROI, census transform (CT) on gradient images is developed in the second stage. Then gradient encoding histogram (GEH) features and linear support vector machines (SVMs) are used to generate a BSK localization classifier. In the last stage, a condition classifier is trained by SVM, but the features are extracted from gray images. Finally, the ROI, BSK localization, and condition classifiers are cascaded to realize a completely automated inspection system. Experimental results show that the system achieves a correct inspection rate of 99.2% and a speed of 5 frames/s, which represents a good real-time performance and high recognition accuracy.

关键词： Condition monitoring     Feature expression     Brake shoe key     Machine vision    

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Distributed monitoring and diagnosis system for hydraulic system of construction machinery

Xiaohu CHEN, Wenfeng WU, Hangong WANG, Yongtao ZHOU,

《机械工程前沿（英文）》 2010年 第5卷 第1期   页码 106-110 doi: 10.1007/s11465-009-0089-7

摘要： This paper mainly presents a distributed monitoring and diagnosis system for the hydraulic system of construction machinery based on the controller area net (CAN) field bus. The hardware of the distributed condition monitoring and fault diagnosis system is designed. Its structure including the sensors, distributed data acquisition units, central signal processing unit, and CAN field bus is introduced. The software is also programmed. The general software design and its realization are studied in detail. The experiments and applications indicate that the distributed condition monitoring and fault diagnosis system can effectively realize its function of real-time online condition monitoring and fault diagnosis for the hydraulic system of construction machinery.

关键词： construction machinery     hydraulic system     distributed condition monitoring     controller area net (CAN) field bus     fault diagnosis    

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新型400 km·h−1 级架空接触网监测技术

Chul Jin Cho, Young Park

《工程（英文）》 2016年 第2卷 第3期   页码 360-365 doi: 10.1016/J.ENG.2016.03.016

摘要：

近年来，高速铁路各项技术不断发展，列车运行速度从300 km•h–1 提高到400 km•h−1。本文介绍了由韩国研究者开发和论证的技术，即400 km•h−1 级集电性能评估方法。此外，本文还详细解释了基于视频图像的监测技术，其不需要直接接触供电系统的任何部件，这项技术被应用于检测以时速400 km 运行的高铁上架空接触网组件的稳定性。与常规使用激光传感器或者线相机(line camera)来监控架空接触网的系统不同，开发的新型系统通过视频数据来测量其处于活动状态的参数。根据在商业线路上实地测量的结果，这种系统能有效地测量架空接触网的各项参数。

关键词： 高速铁路     架空接触网     状态监测     基于图像处理的测量方式    

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基于自动原位校准的大型飞机构件装配过程三维微位移监测系统 Article

贾振元, 梁冰, 刘巍, 刘坤, 马建伟

《工程（英文）》 2022年 第19卷 第12期   页码 105-116 doi: 10.1016/j.eng.2021.02.023

摘要：

三维（3D）微位移监测在大型飞机装配中起着至关重要的作用。本文提出了一种广泛适用的基于接近传感器的高精度在线3D微位移监测方法和系统，以及相应的原位校准方法，可应用于飞机装配过程中遇到的各种极端工作条件，如紧凑和遮挡的空间。首先建立了一个3D监测模型，仅基于接近传感器测量的一
维距离实现3D微位移监测，该模型涉及传感器外部参数，如测量原点（PBP）和单位位移矢量（UDV）。然后，结合空间变换原理和加权优化校准方法，获得高精度外部参数。最后，针对尾翼装配过程开展了校准和监测实验。PBP 的校准精度在X、Y 方向优于±10 μm，在Z 方向优于±2 μm，UDV 的校准精度优于0.07°。此外，3D微位移监测系统的精度可达到±15 μm。总体而言，本文为基于接近传感器的3D微位移监测的建模和校准提供了新的见解，并为飞机装配过程中紧凑空间内的几何测量提供了一种高精度、高效率、低成本的技术手段。

关键词： 飞机制造     装配     校准     状态监测     位移测量    

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大型风力机组远程智能监测与诊断系统的研究与开发

杨文广,蒋东翔

《中国工程科学》 2015年 第17卷 第3期   页码 24-29

摘要：

该文研究了大型风力机组的远程智能监测与诊断系统的关键技术问题，介绍了系统的开发情况。整个系统采用分布式架构，由数据采集与处理、实时数据存储、智能监测与诊断和人机交互4个子系统组成。智能监测与诊断子系统采用了知识库/推理机架构，推理机是一个自主开发的基于模糊Rete算法的模糊专家系统，知识库中存储了来源于风力机故障实验研究的常见振动故障的诊断知识。通过故障仿真，验证了整套系统的有效性。

关键词： 风力机；故障诊断系统；模糊专家系统    

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Non-stationary signal analysis based on general parameterized time--frequency transform and its application in the feature extraction of a rotary machine

Peng ZHOU, Zhike PENG, Shiqian CHEN, Yang YANG, Wenming ZHANG

《机械工程前沿（英文）》 2018年 第13卷 第2期   页码 292-300 doi: 10.1007/s11465-017-0443-0

摘要：

With the development of large rotary machines for faster and more integrated performance, the condition monitoring and fault diagnosis for them are becoming more challenging. Since the time-frequency (TF) pattern of the vibration signal from the rotary machine often contains condition information and fault feature, the methods based on TF analysis have been widely-used to solve these two problems in the industrial community. This article introduces an effective non-stationary signal analysis method based on the general parameterized time–frequency transform (GPTFT). The GPTFT is achieved by inserting a rotation operator and a shift operator in the short-time Fourier transform. This method can produce a high-concentrated TF pattern with a general kernel. A multi-component instantaneous frequency (IF) extraction method is proposed based on it. The estimation for the IF of every component is accomplished by defining a spectrum concentration index (SCI). Moreover, such an IF estimation process is iteratively operated until all the components are extracted. The tests on three simulation examples and a real vibration signal demonstrate the effectiveness and superiority of our method.

关键词： rotary machines     condition monitoring     fault diagnosis     GPTFT     SCI    

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A review of condition-based maintenance: Its prognostic and operational aspects

Yanrong LI, Shizhe PENG, Yanting LI, Wei JIANG

《工程管理前沿（英文）》 2020年 第7卷 第3期   页码 323-334 doi: 10.1007/s42524-020-0121-5

摘要： Condition-based maintenance (CBM) detects early signs of failure and dictates when maintenance should be performed based on the actual condition of a system. In this paper, we first review some of the recent research on CBM under various physical structures and signal data. Then, we summarize several kinds of prognostic models that use monitoring information to estimate the reliability of complex systems or products. Monitoring information also facilitates operational decisions in production planning, spare parts management, reliability improvement, and prognostics and health management. Finally, we suggest some research opportunities for the reliability and operations management communities to fill the research gap between these two fields.

关键词： condition-based maintenance     prognostics     operational decision-making     reliability    

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Trend prediction technology of condition maintenance for large water injection units

Xiaoli XU, Sanpeng DENG

《机械工程前沿（英文）》 2010年 第5卷 第2期   页码 171-175 doi: 10.1007/s11465-009-0091-0

摘要： Trend prediction technology is the key technology to achieve condition-based maintenance of mechanical equipment. Large-sized water injection units are key equipment in oilfields. The traditional preventive maintenance is not economical and cannot completely avoid vicious accidents. To ensure the normal operation of units and save maintenance costs, trend prediction technology is studied to achieve condition-based maintenance for water injection units. The main methods of the technology are given, the trend prediction method based on neural network is put forward, and the expert system based on the knowledge is developed. The industrial site verification shows that the proposed trend prediction technology can reflect the operating condition trend change of the water injection units and provide technical means to achieve condition-based predictive maintenance.

关键词： water injection units     condition-based maintenance     trend prediction    

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标题 作者 时间 类型 操作

Condition monitoring of a wind turbine generator using a standalone wind turbine emulator

Himani,Ratna DAHIYA

期刊论文

Real-time tool condition monitoring method based on temperature measurement and artificial neural network

期刊论文

In-situ condition monitoring of reinforced concrete structures

Sanjeev Kumar VERMA,Sudhir Singh BHADAURIA,Saleem AKHTAR

期刊论文

Distributed flexible reconfigurable condition monitoring and diagnosis technology

HU You-min, YANG Shu-zi, DU Run-sheng

期刊论文

Special issue: Wind turbine dynamic modeling, condition monitoring and diagnosis

Zheng YOU, Jinji GAO, Fulei CHU, Tielin SHI

期刊论文

Overview of condition monitoring and operation control of electric power conversion systems in direct-drive

Shoudao HUANG, Xuan WU, Xiao LIU, Jian GAO, Yunze HE

期刊论文

Frontier of continuous structural health monitoring system for short & medium span bridges and condition

Ayaho MIYAMOTO, Risto KIVILUOMA, Akito YABE

期刊论文

Real-time monitoring of brake shoe keys in freight cars

Rong ZOU,Zhen-ying XU,Jin-yang LI,Fu-qiang ZHOU

期刊论文

Distributed monitoring and diagnosis system for hydraulic system of construction machinery

Xiaohu CHEN, Wenfeng WU, Hangong WANG, Yongtao ZHOU,

期刊论文

新型400 km·h−1 级架空接触网监测技术

Chul Jin Cho, Young Park

期刊论文

基于自动原位校准的大型飞机构件装配过程三维微位移监测系统

贾振元, 梁冰, 刘巍, 刘坤, 马建伟

期刊论文

大型风力机组远程智能监测与诊断系统的研究与开发

杨文广,蒋东翔

期刊论文

Non-stationary signal analysis based on general parameterized time--frequency transform and its application in the feature extraction of a rotary machine

Peng ZHOU, Zhike PENG, Shiqian CHEN, Yang YANG, Wenming ZHANG

期刊论文

A review of condition-based maintenance: Its prognostic and operational aspects

Yanrong LI, Shizhe PENG, Yanting LI, Wei JIANG

期刊论文

Trend prediction technology of condition maintenance for large water injection units

Xiaoli XU, Sanpeng DENG

期刊论文