Zude Zhou

Wuhan University of Technology, Wu-han-shih, Hubei, China

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Publications (143)125.83 Total impact


  • No preview · Article · Jan 2016 · Australasian physical & engineering sciences in medicine / supported by the Australasian College of Physical Scientists in Medicine and the Australasian Association of Physical Sciences in Medicine
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    Yanfang Dong · Zude Zhou · Zicheng Liu · Kai Zheng
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    ABSTRACT: Bearing temperature rise amplitude is related to the running state of bearing and spindle thermal error, so the measurement of bearing temperature field is helpful to ascertain the bearing running characteristic and analysis of the spindle thermal error. On the basis of thoroughly understood several reasons of bearing heat generation, this article analyzes bearing temperature field simulation based on ANSYS and bearing temperature field measurement based on fiber Bragg grating sensors. The results showed that using fiber Bragg grating is able to complete the bearing temperature field distribution measurement perfectly.
    Preview · Article · Dec 2015 · Advances in Mechanical Engineering
  • Tianliang Li · Yuegang Tan · Zude Zhou · Kai Zheng
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    ABSTRACT: This paper has presented a non-contact fiber Bragg grating (FBG) vibration sensor with double differential temperature compensation. Two FBGs and two states of the sensor have been employed to achieve double differential temperature compensation. Based on magnetic coupling and FBG sensing principle, it can be used to realize non-contact measurement of vibration of the rotating shaft. Experimental results show that the working band ranges are within 0–150 Hz; the sensitivity is −0.67 pm/µm, and the linearity is 3.87 % within a range of 2–2.6 mm. The fitting equation of temperature compensation which is caused by structural inflation can be expressed as: Δλ 1′ − Δλ 2′ = 1.51 × T − 32.97. When used to amend a temperature error, the sensor’s temperature error will be reduced to 1.19 % in the range of 25–60 °C.
    No preview · Article · Nov 2015 · Optical Review
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    ABSTRACT: With steel prestressing wires tensioned around core, Prestressed Concrete Cylinder Pipe (PCCP) is a high-strength composite pipe designed for large-diameter water propagation and distribution. However, some PCCPs may fail after a certain time of service due to corrosion and deterioration. Real-time health monitoring of wire breaks is essential to assess the condition and avoid catastrophic failures of PCCPs. In this paper, a novel approach based on Fibre Bragg Grating (FBG) sensing technology, is presented to monitor and locate wire breaks in PCCP lines. FBG vibration sensors are utilised to capture the signals of wire break activities in the pipeline and obtain their locations. The online monitoring system and localization principle of wire break activities are described. Preliminary experiments were carried out on PCCPs with an inner diameter of 2 m, which were filled with pressurized water. Experimental results indicate that the wire break activity can be detected and located effectively by FBG sensors. The detection error of wire break locations is analysed. With unique features, the proposed non-destructive method is expected to be used for the online monitoring of wire break activities in long term for the condition assessment and performance prediction of PCCP lines.
    No preview · Article · Nov 2015 · Measurement
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    ABSTRACT: Thermal error compensation is considered as an effective and economic method to improve the machining accuracy for a machine tool. The performance of thermal error prediction mainly depends on the accuracy and robustness of predictive model and the input temperature variables. Selection of temperature-sensitive measuring points is the premise of thermal error compensation. In the thermal error compensation scheme for heavy-duty computer numerical control (CNC) machine tools, the identification of temperature-sensitive points still lacks an effective method due to its complex structure and heat generation mechanisms. In this paper, an optimal selection method of temperature-sensitive measuring points has been proposed. The optimal measuring points are acquired through three steps. First, the degree of temperature sensitivity is defined and used to select the measuring points with high sensitivity to thermal error. Then, the first selected points are classified with fuzzy clustering and grey correlation grade. Finally, the temperature-sensitive measuring points are selected with analysis of location of temperature sensors. In order to verify the method above, an experiment is carried out on the CR5116 of flexible machining center. A novel temperature sensor, fiber Bragg grating (FBG) sensor, is used to collect the surface temperature of the machine. A thermal error compensation model is developed to analyze the prediction accuracy based on four sequences of measuring points, which are generated by different selection approaches. The results show that the number of the measuring points is reduced from 27 to 5 through the proposed selection method, and the thermal error compensation model based on the optimum temperature-sensitive measuring points has the best performance of prediction effect.
    No preview · Article · Oct 2015 · International Journal of Advanced Manufacturing Technology
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    ABSTRACT: A fiber Bragg grating (FBG) sensing based triaxial vibration sensor has been presented in this paper. The optical fiber is directly employed as elastomer, and the triaxial vibration of a measured body can be obtained by two pairs of FBGs. A model of a triaxial vibration sensor as well as decoupling principles of triaxial vibration and experimental analyses are proposed. Experimental results show that: sensitivities of 86.9 pm/g, 971.8 pm/g and 154.7 pm/g for each orthogonal sensitive direction with linearity are separately 3.64%, 1.50% and 3.01%. The flat frequency ranges reside in 20-200 Hz, 3-20 Hz and 4-50 Hz, respectively; in addition, the resonant frequencies are separately 700 Hz, 40 Hz and 110 Hz in the x/y/z direction. When the sensor is excited in a single direction vibration, the outputs of sensor in the other two directions are consistent with the outputs in the non-working state. Therefore, it is effectively demonstrated that it can be used for three-dimensional vibration measurement.
    Preview · Article · Sep 2015 · Sensors
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    Tianliang Li · Yuegang Tan · Zude Zhou · Li Cai · Ruiya Li
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    ABSTRACT: A pasted FBG based cantilever beam accelerometer’s sensitization process method has been proposed in this paper. We have built the pasted FBG-based cantilever beam accelerometer’s sensitization process model. The sensor’s sensitivity was improved by adjusting glue thickness between FBG and cantilever beam. Theoretical model has been proved by ANSYS simulation and experimental analysis: Simulation analysis shows that when distance between fiber core and cantilever beam is greater than 0.4mm, it can be used to enhance sensitivity. Experimental analysis shows that when distance between fiber core and cantilever beam is 1 mm, sensitivity of sensor is increased by 2.9 times compared with the conventional process, but it has no effect on the sensor dynamic characteristics. Compared with conventional sensitization method, it’s more general, and can be applied to all pasted FBG accelerometer for enhancing sensitivity.
    Preview · Article · Sep 2015 · IEICE Electronics Express
  • Fan Zhang · Zude Zhou · Quan Liu · Wenjun Xu
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    ABSTRACT: Due to the advantages of being able to function under harsh environmental conditions and serving as a distributed condition information source in a networked monitoring system, the fibre Bragg grating (FBG) sensor network has attracted considerable attention for equipment online condition monitoring. To provide an overall conditional view of the mechanical equipment operation, a networked service-oriented condition monitoring framework based on FBG sensing is proposed, together with an intelligent matching method for supporting monitoring service management. In the novel framework, three classes of progressive service matching approaches, including service-chain knowledge database service matching, multi-objective constrained service matching and workflow-driven human-interactive service matching, are developed and integrated with an enhanced particle swarm optimisation (PSO) algorithm as well as a workflow-driven mechanism. Moreover, the manufacturing domain ontology, FBG sensor network structure and monitoring object are considered to facilitate the automatic matching of condition monitoring services to overcome the limitations of traditional service processing methods. The experimental results demonstrate that FBG monitoring services can be selected intelligently, and the developed condition monitoring system can be re-built rapidly as new equipment joins the framework. The effectiveness of the service matching method is also verified by implementing a prototype system together with its performance analysis.
    No preview · Article · Sep 2015 · Enterprise Information Systems
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    ABSTRACT: In order to realize an optimal resource service allocation in current open and service-oriented manufacturing model, multiuser resource service composition (RSC) is modeled as a combinational and constrained multiobjective problem. The model takes into account both subjective and objective quality of service (QoS) properties as representatives to evaluate a solution. The QoS properties aggregation and evaluation techniques are based on existing researches. The basic Bees Algorithm is tailored for finding a near optimal solution to the model, since the basic version is only proposed to find a desired solution in continuous domain and thus not suitable for solving the problem modeled in our study. Particular rules are designed for handling the constraints and finding Pareto optimality. In addition, the established model introduces a trusted service set to each user so that the algorithm could start by searching in the neighbor of more reliable service chains (known as seeds) than those randomly generated. The advantages of these techniques are validated by experiments in terms of success rate, searching speed, ability of avoiding ingenuity, and so forth. The results demonstrate the effectiveness of the proposed method in handling multiuser RSC problems.
    Preview · Article · Sep 2015 · Computational Intelligence and Neuroscience
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    ABSTRACT: As an effective approach to realize value and efficiency-added manufacturing activities, service aggregation usually plays an important role in cloud manufacturing (CMfg), and in order to improve the performance of manufacturing service aggregation, the quality of service (QoS) issue should be considered. However, most existing works related to QoS-based service aggregation assume that the services which to be aggregated are independent from each other, and the service aggregation evaluation models ignore the correlation between the services, which directly leading to inaccuracies in the evaluation of QoS of aggregation services. In this paper, three kinds of correlation are considered and the correlation-aware QoS model of aggregation service is presented in three levels. Furthermore, how to select an appropriate service to compose newly and optimal performance service from massive cloud services is discussed, as the service aggregation optimal selection problem is one of the key issues in CMfg. An improved discrete bees algorithm based on Pareto (IDBA-Pareto) is proposed to solve the problem in this context for CMfg. The presented method adopts a novel neighborhood searching mechanism underpinned by variable neighborhood searching (VNS) to improve the exploitation ability. The dynamic crowding distance adjustment strategy and the Pareto solution acceptance strategy at a certain probability are utilized to maintain diversity of solutions in population, so as to facilitate escaping from local optimum. The simulation results validate the effectiveness, high-efficiency, and superiority of IDBA-Pareto due to better population diversity and convergence speed.
    No preview · Article · Sep 2015 · International Journal of Advanced Manufacturing Technology
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    ABSTRACT: There is a growing need of knowledge description of manufacturing equipment and their capabilities for users, in order to efficiently obtain the on-demand services of manufacturing equipment in cloud manufacturing, and the understanding of the manufacturing capability of equipment is the most important basis for optimizing the cloud service management. During the manufacturing processes, a number of uncertain incidents may occur, which could degrade the manufacturing system performance or even paralyze the production line. Hence, all aspects about the equipment should be reflected within the knowledge description, and the static and dynamic information are both included in the knowledge model of manufacturing equipment. Unification and dynamics are the most important characteristics of the framework of knowledge description. The primary work of this study is fourfold. First, three fundamental ontologies are built, namely, basic information ontology, functional ontology, and manufacturing process ontology. Second, the correlation between the equipment ontology and the fundamental ontology that forms the unified description framework is determined. Third, the mapping relationship between the real-time condition data and the model of manufacturing equipment capability ontology is established. On the basis of the mapping relationship, the knowledge structure of the manufacturing equipment capability ontology is able to update in real-time. Finally, a prototype system is developed to validate the feasibility of the proposed dynamic modeling method. The system implementation demonstrates that the proposed knowledge description framework and method are capable of reflecting the current conditions and the dynamic capability of manufacturing equipment.
    No preview · Article · Aug 2015 · Journal of Manufacturing Science and Engineering
  • Tianliang Li · Yuegang Tan · Zude Zhou · Qin Wei
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    ABSTRACT: A pasted type distributed two-dimensional fiber Bragg grating (FBG) vibration sensor has been proposed and studied in this paper. The optical fiber is directly considered as an elastomer. The two-dimensional vibration can be separated by subtraction/addition of two FBGs’ center wavelength shift. The principle of the sensor as well as numerical simulation and experimental analyses are presented. Experimental results show that the resonant frequencies of the sensor x/y main vibration direction are separately 1300/20.51 Hz, which are consistent with the numerical simulation analysis result. The flat frequency range resides in 10-750 Hz and 3-12 Hz, respectively; dynamic range is 28.63 dB; in the x main vibration direction, the sensor’s sensitivity is 32.84 pm/g, with linearity 3.91% in the range of 10-60 m/s2, while in the y main vibration direction, the sensor’s sensitivity is 451.3 pm/g, with linearity 1.92% in the range of 1.5-8 m/s2. The cross sensitivity is 3.91%. Benefitting from the two dimensional sensing properties, it can be used in distributed two-dimensional vibration measurement.
    No preview · Article · Jul 2015 · The Review of scientific instruments

  • No preview · Article · Jul 2015 · Mechatronics
  • Tianliang Li · Yuegang Tan · Zude Zhou · Li Cai · Lai Wei
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    ABSTRACT: This paper has presented a non-contact vibration sensor based on fiber Bragg grating (FBG) sensing, and applied to measure vibration of turbine rotor dynamic balance platform. The principle of the sensor has been introduced; it’s based on magnetic coupling principle and the FBG sensing to obtain the vibration. The sensors calibration experiments show that: sensitivity of 1st sensor in range of 3.00-3.80mm is -449.83pm/mm, linearity is 5.19%; sensitivity of 2nd sensor in range of 4.00-5.00mm is -430.95pm/mm, linearity is 3.31%. In addition, turbine rotor dynamic vibration detection system based on eddy current displacement sensor and non-contact FBG vibration sensor have set; and contrast analysis of experiments data shows that: the vibration signal analysis of non-contact FBG vibration sensor is basically the same as the result of eddy current displacement sensor. It verified that the sensor can be used for non-contact measurement of turbine rotor dynamic balance vibration.
    No preview · Article · Jun 2015 · IEICE Electronics Express
  • Chunsheng Song · Shengquan Xie · Zude Zhou · Yefa Hu
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    ABSTRACT: Pneumatic Artificial Muscle (PAM) actuator has been widely used in medical and rehabilitation robots, owing to its high power-to-weight ratio and inherent safety characteristics. However, the PAM exhibits highly non-linear and time variant behavior, due to compressibility of air, use of elastic-viscous material as core tube and pantographic motion of the PAM outer sheath. It is difficult to obtain a precise model using analytical modeling methods. This paper proposes a new Artificial Neural Network (ANN) based modeling approach for modeling PAM actuator. To obtain higher precision ANN model, three different approaches, namely, Back Propagation (BP) algorithm, Genetic Algorithm (GA) approach and hybrid approach combing BP algorithm with Modified Genetic Algorithm (MGA) are developed to optimize ANN parameters. Results show that the ANN model using the GA approach outperforms the BP algorithm, and the hybrid approach shows the best performance among the three approaches.
    No preview · Article · Jun 2015 · Mechatronics
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    ABSTRACT: Temperature is one of the most significant parameters influencing heavy-duty machine tool accuracy. In order to model the correlation between temperature field distribution and thermally induced deformation, and compensate thermal errors, it is critical to obtain the temperature field variations of a precision machine tool in real-time. In this paper, based on fiber Bragg grating (FBG) sensing technology, a novel method for measuring real-time temperature field of a heavy-duty machine tool is presented and the spindle thermal shift error is analyzed. Measurement experiments of real-time temperature field and thermal shift error were carried out on a CNC turn-milling machine tool in shop floor. The variations of ambient and surface temperatures were obtained by the proposed system and the spindle thermal shift errors were monitored by laser displacement sensors at the same time. Experimental results indicate that the surface temperature variations distributed over the machine structure are non-uniform, and the surface temperature field and spindle thermal error have a similar change trend following the ambient temperature. The proposed real-time measurement system could be utilized to analyze the thermal behavior and improve the accuracy of heavy-duty machine tools.
    No preview · Article · May 2015 · Mechatronics
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    ABSTRACT: Robot-assisted rehabilitation and therapy has become more and more frequently used to help the elderly, disabled patients or movement disorders to perform exercise and training. The field of robot-assisted lower limb rehabilitation has rapidly evolved in the last decade. This article presents a review on the most recent progress (from year 2001 to 2014) of mechanisms, training modes and control strategies for lower limb rehabilitation robots. Special attention is paid to the adaptive robot control methods considering hybrid data fusion and patient evaluation in robot-assisted passive and active lower limb rehabilitation. The characteristics and clinical outcomes of different training modes and control algorithms in recent studies are analysed and summarized. Research gaps and future directions are also highlighted in this paper to improve the outcome of robot-assisted rehabilitation.
    No preview · Article · Apr 2015 · Mechatronics
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    ABSTRACT: Milling force is an important parameter to describe the mechanical processing chip removal process, and it has a direct influence on generation of heat, tool wear or failure, quality of machined surface and accuracy of the work piece. Its accurate measurement is a significant basis for judging process state and improving the reliability of machining system. In this study, through analyzing the variation rule of ring diameter, a new method that using Fiber Bragg grating sensors and variation rule of ring diameter to measure the milling force has been proposed, and the basic structure of annulus has also been designed. A dynamometer has also been constructed, and the preliminary verification test was done. Through the analysis of experimental data, the dynamometer based on annulus elastic body can be used in milling force test, and it owns high sensitivity.
    No preview · Article · Apr 2015 · Mechatronics
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    ABSTRACT: A non-contact vibration sensor based on the fiber Bragg grating (FBG) sensor has been presented, and it is used to monitor the vibration of rotating shaft. In the paper, we describe the principle of the sensor and make some experimental analyses. The analysis results show that the sensitivity and linearity of the sensor are -1.5 pm/um and 4.11% within a measuring range of 2 mm-2.6 mm, respectively. When it is used to monitor the vibration of the rotating shaft, the analysis signals of vibration of the rotating shaft and the critical speed of rotation obtained are the same as that obtained from the eddy current sensor. It verifies that the sensor can be used for the non-contact measurement of vibration of the rotating shaft system and for fault monitoring and diagnosis of rotating machinery.
    Full-text · Article · Jan 2015 · Photonic Sensors
  • Fan Zhang · Zude Zhou · Wenjun Xu

    No preview · Article · Oct 2014

Publication Stats

688 Citations
125.83 Total Impact Points

Institutions

  • 2004-2015
    • Wuhan University of Technology
      Wu-han-shih, Hubei, China
  • 2003-2009
    • Huazhong University of Science and Technology
      • • State Engineering Research Center of Numerical Control System
      • • School of Mechanical Science and Engineering
      Wu-han-shih, Hubei, China
  • 2008
    • University of Michigan-Dearborn
      Dearborn, Michigan, United States
    • Cardiff University
      • School of Engineering
      Cardiff, Wales, United Kingdom