Zude Zhou

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

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Publications (118)96.74 Total impact

  • [Show abstract] [Hide abstract]
    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.
    Mechatronics 05/2015; DOI:10.1016/j.mechatronics.2015.04.004 · 1.82 Impact Factor
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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.
    Mechatronics 04/2015; DOI:10.1016/j.mechatronics.2015.03.007 · 1.82 Impact Factor
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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.
    01/2015; 5(2). DOI:10.1007/s13320-015-0220-9
  • Journal of Manufacturing Science and Engineering 01/2015; DOI:10.1115/1.4030079 · 0.78 Impact Factor
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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.
    IEICE Electronics Express 01/2015; DOI:10.1587/elex.12.20150380 · 0.39 Impact Factor
  • Fan Zhang, Zude Zhou, Wenjun Xu
    10/2014; 9(10). DOI:10.4304/jsw.9.10.2598-2606
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    ABSTRACT: Multi-degrees of freedom (DOF) parallel robot, due to its compact structure and high operation accuracy, is a promising candidate for medical rehabilitation devices. However, its controllability relating to the nonlinear characteristics challenges its interaction with human subjects during the rehabilitation process. In this paper, we investigated the control of a parallel robot system using fuzzy sliding mode control (FSMC) for constructing a simple controller in practical rehabilitation, where a fuzzy logic system was used as the additional compensator to the sliding mode controller (SMC) for performance enhancement and chattering elimination. The system stability is guaranteed by the Lyapunov stability theorem. Experiments were conducted on a lower limb rehabilitation robot, which was built based on kinematics and dynamics analysis of the 6-DOF Stewart platform. The experimental results showed that the position tracking precision of the proposed FSMC is sufficient in practical applications, while the velocity chattering had been effectively reduced in comparison with the conventional FSMC with parameters tuned by fuzzy systems.
    International Journal of Humanoid Robotics 04/2014; 11(01). DOI:10.1142/S0219843614500042 · 0.41 Impact Factor
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    ABSTRACT: As the future development trend of advanced manufacturing technologies, manufacturing grid (MG) is attracting more and more interests, and massive results have been achieved. However, as current existing service MG platforms are based on different standards and specifications, access to manufacturing resources of these platforms remains incompatible. To enhance the adaptability of MG with different standards, a uniform manufacturing resource service adapter for MG called uniform service adapter (UA) is suggested. Firstly, existing service access mechanisms of current MG are analyzed briefly. Then the frameworks of UA, which are composed of three parts, namely the service adapter, the data management adapter, and the binding adapter, is presented. Next, each part of UA is realized in detail. Lastly, a simple test scene of UA is provided. The UA introduced in the paper can accommodate the dynamics, complexity, and heterogeneity of the situation, providing a uniform interface for the upper applications to overcome the incompatibility of the services with different standards.
    International Journal of Advanced Manufacturing Technology 04/2014; 72(1-4):221-230. DOI:10.1007/s00170-014-5631-z · 1.78 Impact Factor
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    ABSTRACT: A non-contact vibration sensor based on fiber Bragg grating (FBG) sensing has been proposed and studied in this paper. The principle of the sensor as well as simulation and experimental analyses are introduced. When the distance between the movable head and the measured shaft changed, the diaphragm deformed under magnetic coupling of the permanent magnet on the measured magnetic shaft. As a result, the center wavelength of the FBG connected to the diaphragm changed, based on which the vibration displacement of the rotating shaft could be obtained. Experimental results show that the resonant frequency of the sensor is about 1500 Hz and the working band ranges within 0-1300 Hz, which is consistent with the simulation analysis result; the sensitivity is -1.694 pm/μm and the linearity is 2.92% within a range of 2-2.4 mm. It can be used to conduct non-contact measurement on the vibration of the rotating shaft system.
    The Review of scientific instruments 01/2014; 85(1):015002. DOI:10.1063/1.4857755 · 1.58 Impact Factor
  • Fan Zhang, Zude Zhou, Wenjun Xu
    International Journal of Distributed Sensor Networks 01/2014; 2014:1-13. DOI:10.1155/2014/823029 · 0.92 Impact Factor
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    ABSTRACT: ‘Customer requirements’ CRs management is a key component of customer relationship management CRM. By processing customer-focused information, CRs management plays an important role in enterprise systems ESs. Although two main CRs analysis methods, quality function deployment QFD and Kano model, have been applied to many fields by many enterprises in the past several decades, the limitations such as complex processes and operations make them unsuitable for online businesses among small-and medium-sized enterprises SMEs. Currently, most SMEs do not have the resources to implement QFD or Kano model. In this article, we propose a method named customer requirement information CRI, which provides a simpler and easier way for SMEs to run CRs analysis. The proposed method analyses CRs from the perspective of information and applies mathematical methods to the analysis process. A detailed description of CRI's acquisition, classification and processing is provided.
    Enterprise Information Systems 11/2013; 7(4):543-557. DOI:10.1080/17517575.2012.763189 · 9.26 Impact Factor
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    ABSTRACT: ‘Customer requirements’ CRs management plays an important role in enterprise systems ESs by processing customer-focused information. Quality function deployment QFD is one of the main CRs analysis methods. Because CR weights are crucial for the input of QFD, we developed a method for determining CR weights based on trapezoidal fuzzy membership function TFMF and 2-tuple linguistic representation TLR. To improve the accuracy of CR weights, we propose to apply TFMF to describe CR weights so that they can be appropriately represented. Because the fuzzy logic is not capable of aggregating information without loss, TLR model is adopted as well. We first describe the basic concepts of TFMF and TLR and then introduce an approach to compute CR weights. Finally, an example is provided to explain and verify the proposed method.
    Enterprise Information Systems 11/2013; 7(4):569-580. DOI:10.1080/17517575.2012.763190 · 9.26 Impact Factor
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    ABSTRACT: The change of spindle temperature field is an important factor which influences machining precision. Many methods of spindle temperature field measurement have been proposed. However, most of the methods are based on the electric temperature sensors. There exist some defects (e.g., anti-interference, multiplexing, and stability capacity are poor). To increase the temperature sensitivity and reduce strain sensitivity of the bare Fiber Bragg Grating (FBG) sensor, a cassette packaged FBG sensor is proposed to measure spindle temperature field. The temperature characteristics of the packaged FBG sensor are studied by comparative experiment with traditional thermal resistor sensor. The experimental results show that the packaged FBG sensor has the same capacity of temperature measurement with the thermal resistor sensor but with more remarkable antiinterference. In the further measurement experiment of the temperature field, a spindle nonuniform temperature field is acquired by the calibrated FBG sensors. It indicates that the packaged FBG sensor can be used to measure the temperature field for the spindle of machine tool.
    Advances in Mechanical Engineering 09/2013; 2013. DOI:10.1155/2013/940626 · 0.50 Impact Factor
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    ABSTRACT: Due to the advantages of its compact structure and high operation accuracy, the six degrees of freedom (6-DOF) parallel platform has been widely used as a carrier of medical rehabilitation devices. Fuzzy adaptive algorithm does not depend on the mathematical model of controlled object, which possesses good nonlinear characteristics. Those entire features make it an effective method to control such complex and coupling platforms. To facilitate the application of robotics in lower limb rehabilitation fields, a robotic system in practical environment was established based on kinematics modeling of the 6-DOF Stewart-based platform. In order to improve the velocity tracking accuracy, this paper proposed a closed-loop control strategy based on fuzzy adaptive algorithm. The velocity feedback information was utilized to modify the PID parameters adaptively in realtime through fuzzy inference units. Several experiments in practical environment were conducted, and the results demonstrated that the proposed algorithm could effectively reduce the speed jitter, enhance the position and velocity tracking precision of the robot, and the reliability and robustness of the system could also be ensured.
    Advances in Mechanical Engineering 07/2013; 2013. DOI:10.1155/2013/574896 · 0.50 Impact Factor
  • Quan Liu, Fen Chen, Zude Zhou, Qin Wei
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    ABSTRACT: Rolling bearing is widely used in rotating mechanical system, and its operating state has great influence on accuracy, reliability, and the life of the whole mechanical system. Therefore, fault diagnosis of rolling bearing is indispensible for the health monitoring in rotating machinery system. Wavelet package transform (WPT) and envelope demodulation have been common methods in diagnosis of bearing fault, but the precision of diagnostic results is limited by the degree of damages on bearing. In this paper, a method based on WPT and ensemble empirical mode decomposition (EEMD) is proposed to detect the fault of rolling bearing and solve this problem. According to simulation and experimental results, it is effective in fault diagnosis of rolling bearing and is better than the method based on WPT and envelope spectrum while the faults get more serious.
    Advances in Mechanical Engineering 07/2013; 2013. DOI:10.1155/2013/792584 · 0.50 Impact Factor
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    ABSTRACT: A fiber Bragg grating-based accelerometer with a fully metalized package is presented. Magnetron sputtering and electroplating techneques are successively adopted to metalize bare SiO2 fiber with a single Bragg grating. Laser welding techneque is adopted to fix the metal-coated fiber on the sensor component to obtain a fully metallized package without adhesives. Vibration test results demonstrate that the accelerometer has a flat frequency response over a 1-kHz bandwidth, with a resonance frequency of 3.6 kHz, wide linear measurement range of up to 8 g, and sensitivity of 1.7 pm/g.
    Chinese Optics Letters 07/2013; 11(7). DOI:10.3788/COL201311.070604 · 1.85 Impact Factor
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    ABSTRACT: The fiber Bragg grating (FBG) technology has been rapidly applied in the sensing technology field. In this paper, an FBG pressure sensor is designed and implemented to detect the leakage of prestressed concrete cylinder pipe (PCCP). The pressure sensor is mainly based on a Bourdon tube with two FBGs bonded on its outside and inside surfaces, respectively. The measurement principle and simulation analysis results are described. The wavelength shift difference of the two FBGs is utilized as a pressure sensing signal, the sensitivity is enhanced, and the temperature cross-sensitivity is compensated. Experimental results indicate that the measurement sensitivity is 1.414 pm/kPa in a range from 0 to 1 MPa, and the correlative coefficient reaches 99.949%. This kind of pressure sensor is effective to quasi-distributed measure and online monitor pressure of gas or liquid in industry and manufacture fields.
    Advances in Mechanical Engineering 06/2013; 2013. DOI:10.1155/2013/590451 · 0.50 Impact Factor
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    ABSTRACT: A fiber Bragg grating (FBG) tension sensor for anchor rope has been proposed and implemented in the full-scale impact test of rockfall protection barriers in this paper. According to the measurement principle of the tension sensor, the wavelength shift difference of the two FBGs which, respectively, measure the positive and negative strain in the spring element is utilized as sensing signal. Therefore, the force sensitivity is increased and the temperature cross-sensitivity is compensated. Experimental results indicate that the measurement sensitivity is 14.85 pm/kN in a range from 0 to 150 kN. The dynamic forces on anchor ropes in barriers have been clearly recorded by the designed sensors during the impact test, and the variation of the impact forces could be mainly divided into three stages. This kind of tension sensor is expected to be widely used for force's quasi-distributed measurement or remote monitoring in industrial and mechanical fields.
    Advances in Mechanical Engineering 06/2013; 2013. DOI:10.1155/2013/125404 · 0.50 Impact Factor
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    ABSTRACT: A diaphragm-type fiber Bragg grating (FBG) pressure sensor with two bare FBGs directly bonded on a circular diaphragm along the radial direction has been proposed and studied. Measurement principle and simulation analysis of the pressure sensor are introduced. Using the wavelength shift difference of the two FBGs which respectively measure the positive and negative strain as sensing signal, the pressure sensitivity is increased and the temperature cross-sensitivity is compensated. Experimental results indicate that the measurement sensitivity is 1.57 pm/kPa in a range from 0 to 1 MPa, the correlative coefficient reaches 99.996%, and the temperature compensation performance is distinct. This kind of pressure sensor could be used to measure and monitor the static/dynamic pressure of gas or liquid.
    Measurement 04/2013; 46(3):1041–1046. DOI:10.1016/j.measurement.2012.10.010 · 1.53 Impact Factor
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    ABSTRACT: Active vibration isolation technology has been widely used to reduce vibration transmission in many different engineering systems. Magnetic suspension isolator (MSI), as an active isolation actuator, has shown advantages including non‐contact, high response frequency, high reliability and long life‐span. However, its potential has not been fully explored due to the nonlinear and hysteretic behavior in a dynamic environment, and there is limited research work in the area. This paper proposes a new artificial neural network (ANN)‐based approach to model the dynamics of MSI. A modified genetic algorithm (MGA) is developed to train the ANN to improve the model accuracy. Results clearly show that the ANN model with the MGA approach outperforms the back propagation (BP) approach and the analytic method based on the least squares fitting method.
    Journal of Vibration and Control 04/2013; 19(6):847-856. DOI:10.1177/1077546311433608 · 4.36 Impact Factor