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A Degradation Degree Considered Method for Remaining Useful Life Prediction Based on Similarity SCIE
期刊论文 | 2019 , 21 (1) , 50-64 | COMPUTING IN SCIENCE & ENGINEERING
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Abstract :

In view of the problems of degradation index construction and predicted lag of similarity-based methods, a degradation degree considered method for remaining useful life prediction based on similarity is proposed. The effectiveness of the proposed method is demonstrated by using turbofan engine data from NASA and a real case study.

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GB/T 7714 Liang, Zeming , Gao, Jianmin , Jiang, Hongquan et al. A Degradation Degree Considered Method for Remaining Useful Life Prediction Based on Similarity [J]. | COMPUTING IN SCIENCE & ENGINEERING , 2019 , 21 (1) : 50-64 .
MLA Liang, Zeming et al. "A Degradation Degree Considered Method for Remaining Useful Life Prediction Based on Similarity" . | COMPUTING IN SCIENCE & ENGINEERING 21 . 1 (2019) : 50-64 .
APA Liang, Zeming , Gao, Jianmin , Jiang, Hongquan , Gao, Xu , Gao, Zhiyong , Wang, Rongxi . A Degradation Degree Considered Method for Remaining Useful Life Prediction Based on Similarity . | COMPUTING IN SCIENCE & ENGINEERING , 2019 , 21 (1) , 50-64 .
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Experimental study on the effect of coolant on the thermal characteristics of gear grinding machine under load EI Scopus
期刊论文 | 2018 , 11 (1) , 53-66 | International Journal of Mechatronics and Manufacturing Systems
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Abstract :

It is very important to reduce the thermal deformation of machine tools for modern precision machining because the machining error induced by the thermal deformation is up to 75% of the total errors. In this paper a special measurement system was established for a five-axis gear grinding machine and the effect of coolant on thermal behaviour of the machine tool during various grinding processes has been studied experimentally. The results show that the coolant has a strong influence on the thermal behaviour. This is mainly because the coolant absorbs a large amount of cutting heat and the uneven flows of coolant on the bed surface increase the temperature gradient of the machine tool. In addition, coolant atomisation leads to higher ambient temperature inside the machine tool housing. The measured thermally induced errors increase with the increase of the coolant temperature. Although coolant causes the machine tool temperature increase, it can also positively affect the thermal behaviour if coolant is controlled to flow correctly and stabilise the machine tool temperature. In order to further reduce the thermal error, controlling coolant flow has to be considered in earl design stages. © 2018 Inderscience Enterprises Ltd.

Keyword :

Coolant temperature Gear grinding machines Measurement system Precision machining Thermal behaviours Thermal characteristics Thermal deformation Thermally induced errors

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GB/T 7714 Fan, Li-Jun , Shi, Xiao-Jun , Zhu, Ke et al. Experimental study on the effect of coolant on the thermal characteristics of gear grinding machine under load [J]. | International Journal of Mechatronics and Manufacturing Systems , 2018 , 11 (1) : 53-66 .
MLA Fan, Li-Jun et al. "Experimental study on the effect of coolant on the thermal characteristics of gear grinding machine under load" . | International Journal of Mechatronics and Manufacturing Systems 11 . 1 (2018) : 53-66 .
APA Fan, Li-Jun , Shi, Xiao-Jun , Zhu, Ke , Gao, Jian-Min . Experimental study on the effect of coolant on the thermal characteristics of gear grinding machine under load . | International Journal of Mechatronics and Manufacturing Systems , 2018 , 11 (1) , 53-66 .
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A Classification Method for Abnormal Patterns of Complex Electromechanical System for Discriminant Analysis Nuclear Entropy EI Scopus
会议论文 | 2018 , 55 , 1441-1451 | International Conference on Mechanical Design, ICMD 2017
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Abstract :

In order to solve the complexity and dynamic of massive data of complex electromechanical system in process industry, and to put up with fault data precisely and classify the fault types accurately and efficiently, this paper proposes a kernel entropy discriminant analysis method based on information entropy. Firstly, the concept of information entropy is introduced. Because of the redundancy of information, the redundancy degree is related to the uncertainty of information. The average information amount after excluding redundancy can eliminate the effective classification of abnormal patterns. Secondly, the kernel entropy component analysis is used to nonlinearly map and reduce the dimension of the data. The entropy-based parameter selection method is made to calculate steps and KEDA algorithm steps, so as to classify the space after dimension reduction. Finally, the effectiveness of the algorithm is verified by combining with the TE process dataset, and the effectiveness, superiority and rationality of the algorithm are verified by simulation experiments. The results show that KEDA method proposed in this paper has certain application value compared with other methods. © Springer Nature Singapore Pte Ltd. 2018.

Keyword :

Classification methods Complex electromechanical systems Component analysis Dimension reduction Discriminant analysis methods Information entropy Parameter selection TE process

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GB/T 7714 Ya Sen Jiang, Jiarula , Gao, Jianmin , Gao, Zhiyong et al. A Classification Method for Abnormal Patterns of Complex Electromechanical System for Discriminant Analysis Nuclear Entropy [C] . 2018 : 1441-1451 .
MLA Ya Sen Jiang, Jiarula et al. "A Classification Method for Abnormal Patterns of Complex Electromechanical System for Discriminant Analysis Nuclear Entropy" . (2018) : 1441-1451 .
APA Ya Sen Jiang, Jiarula , Gao, Jianmin , Gao, Zhiyong , Jiang, Hongquan . A Classification Method for Abnormal Patterns of Complex Electromechanical System for Discriminant Analysis Nuclear Entropy . (2018) : 1441-1451 .
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Effect of swirl number on heat transfer characteristics of swirling impinging jets 旋度对旋转冲击射流传热特性的影响 EI Scopus CSCD PKU
期刊论文 | 2018 , 48 (5) , 1483-1491 | Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition)
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© 2018, Editorial Board of Jilin University. All right reserved. Based on the experimental data of swirling impinging jet from published literature, a numerical simulation method with RNG-k-ε turbulence model was developed to accurately simulate heat transfer characteristics of swirling impinging jets. Three types of inserts, screw rod, twisted tape and guide vane, were used to produce the swirl flow. Swirling impinging jets issuing from the nozzles of these inserts were numerically studied. The effect of jet Reynolds number on swirling number at the exit of the nozzles was evaluated and the effect of swirl number on heat transfer of the swirling impinging jets was analyzed. Numerical results show that the large deviation of swirl number occurs as jet Reynolds number is not considered. The swirl number of the swirling jets by the inserts with medium helix angles of 30° and 45° is very sensitive to changes in jet Reynolds number. Different patterns of red spot with high heat transfer rates are shown on the target surface by swirling impinging jet issuing from the nozzles. Shapes and sizes of red spots are related to swirl number of the swirl jets. The peak of Nussle number is increased and the uniformity of heat transfer is enhanced as the swirl number increases. Heat transfer characteristics of the swirling jets depend on the combined effect of jet Reynolds number and swirl number of the jets. The optimum swirl generator is the type of insert with screw rod. Comparing to the other two swirl generators of the inserts with twisted tape and guide vane, the highest heat transfer coefficient with the best uniformity on the target surface by this swirl generator can be achieved under the same working condition.

Keyword :

Heat transfer enhancement Swirl number Swirling impinging jets Thermal engineering Uniformity of heat transfer

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GB/T 7714 Xu, Liang , Lan, Jin , Wang, Ming-Sen et al. Effect of swirl number on heat transfer characteristics of swirling impinging jets 旋度对旋转冲击射流传热特性的影响 [J]. | Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) , 2018 , 48 (5) : 1483-1491 .
MLA Xu, Liang et al. "Effect of swirl number on heat transfer characteristics of swirling impinging jets 旋度对旋转冲击射流传热特性的影响" . | Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) 48 . 5 (2018) : 1483-1491 .
APA Xu, Liang , Lan, Jin , Wang, Ming-Sen , Gao, Jian-Min , Li, Yun-Long . Effect of swirl number on heat transfer characteristics of swirling impinging jets 旋度对旋转冲击射流传热特性的影响 . | Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) , 2018 , 48 (5) , 1483-1491 .
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Failure Mode and Effects Analysis by Using the House of Reliability-Based Rough VIKOR Approach EI SCIE Scopus
期刊论文 | 2018 , 67 (1) , 230-248 | IEEE TRANSACTIONS ON RELIABILITY
WoS CC Cited Count: 2 SCOPUS Cited Count: 6
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Abstract :

Failure mode and effects analysis (FMEA) is a widely used reliability analysis tool for identifying and eliminating known or potential failures in system, design, and process. In traditional FMEA, failure modes are evaluated by FMEA team members with respect to three risk factors: severity (S), occurrence (O), and detectability (D), and ranked via their risk priority number (RPN), which is obtained by multiplying the crisp values of S, O, and D. However, traditional RPN has been considerably criticized due to the following shortcomings: not considering the different weights of risk factors; the identical value of RPN for different combinations of S, O, and D; the diversity and uncertainty of evaluation information given by FMEA team members and without considering the dependence among different failure modes. Although significant efforts have been made in FMEA literatures to overcome these shortcomings, there are still some deficiencies. In this paper, a new risk priority model is presented for FMEA by using the house of reliability (HoR)-based rough VIsekriterijumska optimizacija i KOmpromisno Resenje (VIKOR) approach. In the proposed model, the HoR is introduced to identify the dependence among different failure modes and the link between failure modes and the risk factors of O, D and the subcriteria of S. Rough number is introduced to manipulate the subjectivity and vagueness in decision making and VIKOR approach is used to determine the risk priority order of failure modes in a comprehensive way. Finally, an illustrative case in transmission system of a vertical machining center has demonstrated the effectiveness and practicality of the proposed model.

Keyword :

Failure mode and effects analysis (FMEA) house of reliability (HoR) rough number VIsekriterijumska optimizacija i KOmpromisno Resenje (VIKOR) approach

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GB/T 7714 Wang, Zhen , Gao, Jian-Min , Wang, Rong-Xi et al. Failure Mode and Effects Analysis by Using the House of Reliability-Based Rough VIKOR Approach [J]. | IEEE TRANSACTIONS ON RELIABILITY , 2018 , 67 (1) : 230-248 .
MLA Wang, Zhen et al. "Failure Mode and Effects Analysis by Using the House of Reliability-Based Rough VIKOR Approach" . | IEEE TRANSACTIONS ON RELIABILITY 67 . 1 (2018) : 230-248 .
APA Wang, Zhen , Gao, Jian-Min , Wang, Rong-Xi , Chen, Kun , Gao, Zhi-Yong , Zheng, Wei . Failure Mode and Effects Analysis by Using the House of Reliability-Based Rough VIKOR Approach . | IEEE TRANSACTIONS ON RELIABILITY , 2018 , 67 (1) , 230-248 .
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Location of contaminant emission source in atmosphere based on optimal correlated matching of concentration distribution EI SCIE Scopus
期刊论文 | 2018 , 117 , 498-510 | PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
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Source location is crucial to manage contaminant emissions in atmosphere, In order to determine the source location without dependence on the absolute measurement data, a method based on optimal correlated matching of concentration distribution (OCMCD) was proposed. First, the estimation efficiency, accuracy and dependence on source strength of OCMCD were compared with the common method which estimates multiple parameters of the source term simultaneously. The results show that the method of OCMCD performs better than the common multiple parameters estimation method based on the mean errors between prediction and measurement in both estimation accuracy and efficiency. The test results with different sets of source strength manifest that OCMCD relies minimally on the source strength Then, a wind direction correction parameter and a weighted term of normalization concentration error were introduced into the model to compensate some missed information and improve the location results. The influence of data noises on the estimation accuracy of OCMCD method was also verified by adding extra manual noises on the measurement data. Then, the dependence of estimation performance with OCMCD method on atmosphere conditions were investigated statistically with experiment release cases. The results showed that source location was identified well in most of cases. Finally, OCMCD method was extended to determine the source location during the source trace process with a mobile sensor. The test results with a simulation scenario based on Zigzag search strategy demonstrate that the source location determined by OCMCD source criterion is much closer to the real source position than that determined by the criterion of the maximum concentration. Therefore, the results have proven the feasibility and superiority of OCMCD proposed in this paper to estimate source location in cases of both static sensor distribution and mobile sensors. OCMCD will be a potentially useful method to identify emission source location in atmosphere. (C) 2018 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.

Keyword :

Source trace Optimization algorithms Source term estimation Gas emission Hazard identification

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GB/T 7714 Ma, Denglong , Tan, Wei , Wang, Qingsheng et al. Location of contaminant emission source in atmosphere based on optimal correlated matching of concentration distribution [J]. | PROCESS SAFETY AND ENVIRONMENTAL PROTECTION , 2018 , 117 : 498-510 .
MLA Ma, Denglong et al. "Location of contaminant emission source in atmosphere based on optimal correlated matching of concentration distribution" . | PROCESS SAFETY AND ENVIRONMENTAL PROTECTION 117 (2018) : 498-510 .
APA Ma, Denglong , Tan, Wei , Wang, Qingsheng , Zhang, Zaoxiao , Gao, Jianmin , Wang, Xiaoqiao et al. Location of contaminant emission source in atmosphere based on optimal correlated matching of concentration distribution . | PROCESS SAFETY AND ENVIRONMENTAL PROTECTION , 2018 , 117 , 498-510 .
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Application and improvement of swarm intelligence optimization algorithm in gas emission source identification in atmosphere EI Scopus SCIE
期刊论文 | 2018 , 56 , 262-271 | Journal of Loss Prevention in the Process Industries
SCOPUS Cited Count: 1
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Abstract :

Hazardous gas emissions could cause serious consequences for ecology, environment, human life and even society. Thus gas emission source term identification is crucial for emergency response and safety management. Based on experimental data, swarm intelligent optimization (SIO) algorithms including particle swarm optimization (PSO), ant colony optimization algorithm (ACO) and firefly algorithm (FA), are compared to identify the gas emission source parameters including source strength and location parameters. The results show that all three SIO methods used in this work have similar performances in terms of source parameter estimation, and all of them depend slightly on initial range set for individuals in the population. However, PSO method is superior in computational efficiency compared with ACO and FA methods. The convergence rate of FA is faster than that of ACO. PSO method can obtain satisfied estimation results under different boundary constraints, while the estimation results of FA and ACO will become unrealistic under too wide boundary constraints. The impact of atmospheric conditions on estimated results is also discussed. The results under extreme atmospheric conditions are worse than that in other conditions. Finally, SIO method coupled with a new model, correlated matching of concentration distribution (CMCD) model, is applied to the source location estimation. Test results prove that SIO-CMCD model can obtain a satisfied estimation as well as greatly enhanced computational efficiency when only location parameters are required to be determined. Hence, SIO is a useful tool to estimate emission source term for the storage and transportation process of hazardous gas or volatile materials. © 2018 Elsevier Ltd

Keyword :

Ant Colony Optimization algorithms Concentration distributions Emission sources Gas leakages Hazard identification Storage and transportation process Swarm intelligence optimization algorithm Swarm optimization

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GB/T 7714 Ma, Denglong , Tan, Wei , Wang, Qingsheng et al. Application and improvement of swarm intelligence optimization algorithm in gas emission source identification in atmosphere [J]. | Journal of Loss Prevention in the Process Industries , 2018 , 56 : 262-271 .
MLA Ma, Denglong et al. "Application and improvement of swarm intelligence optimization algorithm in gas emission source identification in atmosphere" . | Journal of Loss Prevention in the Process Industries 56 (2018) : 262-271 .
APA Ma, Denglong , Tan, Wei , Wang, Qingsheng , Zhang, Zaoxiao , Gao, Jianmin , Zeng, Qunfeng et al. Application and improvement of swarm intelligence optimization algorithm in gas emission source identification in atmosphere . | Journal of Loss Prevention in the Process Industries , 2018 , 56 , 262-271 .
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A thermal characteristic analytic model considering cutting fluid thermal effect for gear grinding machine under load EI Scopus SCIE
期刊论文 | 2018 , 99 (5-8) , 1755-1769 | International Journal of Advanced Manufacturing Technology
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The cutting fluid has a great influence on the thermal behavior of machine tools using flood cooling technique. But majority of machine tools thermal models are without considering the cutting fluid absorbing grinding heat and its effect on the thermal behavior. In this paper, a thermal-structure coupling finite element model considering the cutting fluid thermal influence was developed and a special measurement system was established, and a series of load experiments were carried out to validate this model. The simulation results and experimental data are in good agreement. The thermal behavior of the machine tool has been estimated using the proposed thermal models. The effect of coolant and machining position on thermal deformation was also analyzed. The results show that larger temperature gradient occurred in the X- and Z-directions of the whole machine because cutting fluid absorbing grinding heat and lead to ambient temperature rise of machine tool enclosed housing. The combined effect of the X- and Z-direction thermal deformation causes the column and the workpiece column obviously appear “backwards” distortion. The coolant channels of bed can be designed to be symmetrically distributed around the motorized spindle in the X-direction to further reduce the thermal deformation. © 2018, Springer-Verlag London Ltd., part of Springer Nature.

Keyword :

Gear grinding machines Measurement system Motorized spindle Thermal characteristics Thermal deformation Thermal error Thermal influence Thermal structure

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GB/T 7714 Shi, Xiaojun , Zhu, Ke , Wang, Weiku et al. A thermal characteristic analytic model considering cutting fluid thermal effect for gear grinding machine under load [J]. | International Journal of Advanced Manufacturing Technology , 2018 , 99 (5-8) : 1755-1769 .
MLA Shi, Xiaojun et al. "A thermal characteristic analytic model considering cutting fluid thermal effect for gear grinding machine under load" . | International Journal of Advanced Manufacturing Technology 99 . 5-8 (2018) : 1755-1769 .
APA Shi, Xiaojun , Zhu, Ke , Wang, Weiku , Fan, Lijun , Gao, Jianmin . A thermal characteristic analytic model considering cutting fluid thermal effect for gear grinding machine under load . | International Journal of Advanced Manufacturing Technology , 2018 , 99 (5-8) , 1755-1769 .
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High-Precision Registration of Point Clouds Based on Sphere Feature Constraints EI SCIE PubMed Scopus
期刊论文 | 2017 , 17 (1) | SENSORS | IF: 2.475
WoS CC Cited Count: 3 SCOPUS Cited Count: 3
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Abstract :

Point cloud registration is a key process in multi-view 3D measurements. Its precision affects the measurement precision directly. However, in the case of the point clouds with non-overlapping areas or curvature invariant surface, it is difficult to achieve a high precision. A high precision registration method based on sphere feature constraint is presented to overcome the difficulty in the paper. Some known sphere features with constraints are used to construct virtual overlapping areas. The virtual overlapping areas provide more accurate corresponding point pairs and reduce the influence of noise. Then the transformation parameters between the registered point clouds are solved by an optimization method with weight function. In that case, the impact of large noise in point clouds can be reduced and a high precision registration is achieved. Simulation and experiments validate the proposed method.

Keyword :

feature constraint registration virtual overlapping areas point cloud 3D measurement

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GB/T 7714 Huang, Junhui , Wang, Zhao , Gao, Jianmin et al. High-Precision Registration of Point Clouds Based on Sphere Feature Constraints [J]. | SENSORS , 2017 , 17 (1) .
MLA Huang, Junhui et al. "High-Precision Registration of Point Clouds Based on Sphere Feature Constraints" . | SENSORS 17 . 1 (2017) .
APA Huang, Junhui , Wang, Zhao , Gao, Jianmin , Huang, Youping , Towers, David Peter . High-Precision Registration of Point Clouds Based on Sphere Feature Constraints . | SENSORS , 2017 , 17 (1) .
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Improving the quality of stripes in structured-light three-dimensional profile measurement SCIE
期刊论文 | 2017 , 56 (3) | OPTICAL ENGINEERING | IF: 0.993
WoS CC Cited Count: 2
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Measuring objects with high dynamic range (HDR) reflectivity by coded structured-light, captured stripes are usually seriously distorted by reflectivity, causing inaccurate measurement results. A stripe enhancement method is proposed to deal with the problem. The method is based on the correspondence between phase and intensity of the stripe. First, the phase map of the captured stripe pattern is retrieved by phase-shift algorithm and multiexposure method, where saturation and low contrast of the stripe are eliminated; then, the modulation of stripes is normalized to eliminate the influence of reflectivity; finally, the enhanced stripe is obtained by assembling the modulation and the phase map. Experimental results demonstrate that the method is efficient for objects with HDR reflectivity and achieves high accuracy. (C) 2016 Society of Photo-Optical Instrumentation Engineers (SPIE).

Keyword :

phase-shift structured-light stripe enhancement three-dimensional profile measurement

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GB/T 7714 Qi, Zhaoshuai , Wang, Zhao , Huang, Junhui et al. Improving the quality of stripes in structured-light three-dimensional profile measurement [J]. | OPTICAL ENGINEERING , 2017 , 56 (3) .
MLA Qi, Zhaoshuai et al. "Improving the quality of stripes in structured-light three-dimensional profile measurement" . | OPTICAL ENGINEERING 56 . 3 (2017) .
APA Qi, Zhaoshuai , Wang, Zhao , Huang, Junhui , Xue, Qi , Gao, Jianmin . Improving the quality of stripes in structured-light three-dimensional profile measurement . | OPTICAL ENGINEERING , 2017 , 56 (3) .
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