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< Page ,Total 15 >
Trailing pulses self-focusing for ultrasonic-based damage detection in thick plates EI Scopus SCIE
期刊论文 | 2019 , 119 , 420-431 | Mechanical Systems and Signal Processing
WoS CC Cited Count: 2 SCOPUS Cited Count: 1
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Abstract :

Ultrasonic detection is one of the most commonly used methods in nondestructive testing. Trailing pulses that can be observed in plates and cylindrical rods are a list of longitudinal ultrasonic waves. However, the complexity of trailing pulses brings challenges for ultrasonic–based nondestructive testing. In this paper, a trailing pulses self-focusing method for damage detection in thick plates is proposed by utilizing physical characters of trailing pulses. Firstly, the characteristics of trailing pulses are analyzed by theoretical derivation. Then, three steps of trailing pulses self-focusing method including correlation filtering, energy envelope screening and defect matching are introduced. After that, the trailing pulses of single defect can be focused and the accurate positions of defects can be obtained as well. Finally, a prospective application of trailing pulses, which uses ultrasound phased array (UPA) for nondestructive testing, is discussed. The experiment is carried out on an aluminum plate with a remarkable thickness, which illustrates the effectiveness of the method. © 2018 Elsevier Ltd

Keyword :

Correlation filtering Energy envelope Longitudinal ultrasonic Prospective applications Self-focusing Theoretical derivations Ultrasonic detection Ultrasound phased arrays

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GB/T 7714 Shao, Yongsheng , Zeng, Liang , Lin, Jing et al. Trailing pulses self-focusing for ultrasonic-based damage detection in thick plates [J]. | Mechanical Systems and Signal Processing , 2019 , 119 : 420-431 .
MLA Shao, Yongsheng et al. "Trailing pulses self-focusing for ultrasonic-based damage detection in thick plates" . | Mechanical Systems and Signal Processing 119 (2019) : 420-431 .
APA Shao, Yongsheng , Zeng, Liang , Lin, Jing , Wu, Wentao , Zhang, Hui . Trailing pulses self-focusing for ultrasonic-based damage detection in thick plates . | Mechanical Systems and Signal Processing , 2019 , 119 , 420-431 .
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Hierarchical discriminating sparse coding for weak fault feature extraction of rolling bearings EI Scopus SCIE
期刊论文 | 2019 , 184 , 41-54 | Reliability Engineering and System Safety
WoS CC Cited Count: 5 SCOPUS Cited Count: 4
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Abstract :

The effective extraction of weak fault features is crucial in condition monitoring and fault diagnosis of rolling bearings. Sparse coding, as a promising tool for signal denoising and feature extraction, has attracted a lot of attention in recent years. However, many challenges still exist when sparse coding is applied to the bearings detection under harsh working conditions. Specifically, the predefined dictionary-based sparse coding (PDSC) usually needs prior knowledge about the target signal, while the learning dictionary-based sparse coding (LDSC) is susceptible to interfering components produced by other rotating parts, thus bringing difficulties for early fault identification. To overcome these disadvantages, a hierarchical discriminating sparse coding (HDSC) method is presented in this paper, which could process the raw signals directly and utilize hierarchical concept to isolate interferences. In addition, a novel index termed envelope harmonic-to-noise ratio (EHNR) is introduced to give the instruction on reasonably choosing the parameters in the process of HDSC. The advantages of HDSC over traditional approaches are validated on the simulated signals and real vibration data from locomotive bearing. The results demonstrate that the proposed method can successfully extract the weak fault feature even in the presence of strong noise and ambient interferences. © 2018 Elsevier Ltd.

Keyword :

Dictionary-based Harmonic to noise ratios Prior knowledge Rolling bearings Simulated signals Sparse coding Traditional approaches Weak fault feature extraction

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GB/T 7714 Jiao, Jinyang , Zhao, Ming , Lin, Jing et al. Hierarchical discriminating sparse coding for weak fault feature extraction of rolling bearings [J]. | Reliability Engineering and System Safety , 2019 , 184 : 41-54 .
MLA Jiao, Jinyang et al. "Hierarchical discriminating sparse coding for weak fault feature extraction of rolling bearings" . | Reliability Engineering and System Safety 184 (2019) : 41-54 .
APA Jiao, Jinyang , Zhao, Ming , Lin, Jing , Liang, Kaixuan . Hierarchical discriminating sparse coding for weak fault feature extraction of rolling bearings . | Reliability Engineering and System Safety , 2019 , 184 , 41-54 .
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Identification of mechanical compound-fault based on the improved parameter-adaptive variational mode decomposition. EI PubMed Scopus SCIE
期刊论文 | 2019 , 84 , 82-95 | ISA transactions
WoS CC Cited Count: 7 SCOPUS Cited Count: 7
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Abstract :

Parameter-adaptive variational mode decomposition (VMD) has attenuated the dominant effect of prior parameters, especially the predefined mode number and balancing parameter, which heavily trouble the traditional VMD. However, parameter-adaptive VMD still encounters some problems when it is applied to the data from industry applications. On one hand, the mode number chosen using parameter-adaptive VMD is not the optimal. Numbers of redundant modes are decomposed. On another hand, parameter-adaptive VMD has much space for the improvement when it is applied to compound-fault diagnosis. To solve these issues and further enhance its performance, an improved parameter-adaptive VMD (IPAVMD) is proposed in this paper. Firstly, a new index, called ensemble kurtosis, is constructed by combining with kurtosis and the envelope spectrum kurtosis. It can simultaneously take the cyclostationary and impulsiveness into consideration. Secondly, the optimization objective function of grasshopper optimization algorithm is improved based on the ensemble kurtosis. The improved method chooses the mean value of the ensemble kurtosis of all modes rather than that of the individual mode as objective function. Thirdly, to extract all potential fault information, an iteration algorithm is used in the new method. Benefiting from these improvements, the proposed IPAVMD outperforms the traditional parameter-adaptive VMD and further expands the application to compound-fault diagnosis. It has been verified by a series of simulated signals and a real dataset from the axle box bearings of locomotive.

Keyword :

Feature extraction Improved parameter-adaptive VMD Compound-fault diagnosis Iteration Parameter-adaptive VMD

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GB/T 7714 Miao Yonghao , Zhao Ming , Lin Jing . Identification of mechanical compound-fault based on the improved parameter-adaptive variational mode decomposition. [J]. | ISA transactions , 2019 , 84 : 82-95 .
MLA Miao Yonghao et al. "Identification of mechanical compound-fault based on the improved parameter-adaptive variational mode decomposition." . | ISA transactions 84 (2019) : 82-95 .
APA Miao Yonghao , Zhao Ming , Lin Jing . Identification of mechanical compound-fault based on the improved parameter-adaptive variational mode decomposition. . | ISA transactions , 2019 , 84 , 82-95 .
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Optimal swarm decomposition with whale optimization algorithm for weak feature extraction from multicomponent modulation signal EI SCIE
期刊论文 | 2019 , 122 , 673-691 | Mechanical Systems and Signal Processing
WoS CC Cited Count: 5
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Abstract :

Since multicomponent modulation and complicated interference simultaneously exist in the vibration signals caused by the bearing compound fault, the fault feature becomes rather weak and is hard to be extracted. Therefore, the diagnosis of bearing compound fault is always considered as the bottle neck issue of machinery condition monitoring. The decomposition methods which can separate the individual component into different modes with appropriate criterion provide an alternative for solving this issue. However, various weaknesses, including mode mixing, depending on predefined mode number and poor noise suppression, seriously restrict their application range. To overcome the disadvantages, a novel decomposition method, swarm decomposition (SWD), is initially introduced in the diagnosis of the machinery fault. Inspired by the swarm intelligence, SWD can intelligently decompose the signal by using the swarm filtering and iterative algorithm. A series of analysis, including an impulse responses test and a numerical validation, verifies SWD has a remarkable performance in the decomposition of multicomponent modulation signal. Yet, the superiority also relies on the choice of thresholds. Therefore, a novel nature-inspired meta-heuristic optimization algorithm, whale optimization algorithm (WOA), is applied to solve the problem. Benefiting from the virtues of SWD and WOA, the proposed optimal swarm decomposition (OSWD) is more suitable for the weak feature extraction from multicomponent modulation signal. Finally, to further highlight its superiority in the diagnosis of the bearing compound fault, a number of simulation and real datasets from the axle box bearings of locomotive are applied. Results show that OSWD can be considered as an alternative to address the bottle neck issue from the bearing compound fault. © 2018 Elsevier Ltd

Keyword :

Bearing fault diagnosis Compound fault diagnosis Individual components Machinery condition monitoring Meta-heuristic optimizations Mode decomposition Numerical validations Optimization algorithms

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GB/T 7714 Miao, Yonghao , Zhao, Ming , Makis, Viliam et al. Optimal swarm decomposition with whale optimization algorithm for weak feature extraction from multicomponent modulation signal [J]. | Mechanical Systems and Signal Processing , 2019 , 122 : 673-691 .
MLA Miao, Yonghao et al. "Optimal swarm decomposition with whale optimization algorithm for weak feature extraction from multicomponent modulation signal" . | Mechanical Systems and Signal Processing 122 (2019) : 673-691 .
APA Miao, Yonghao , Zhao, Ming , Makis, Viliam , Lin, Jing . Optimal swarm decomposition with whale optimization algorithm for weak feature extraction from multicomponent modulation signal . | Mechanical Systems and Signal Processing , 2019 , 122 , 673-691 .
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Manufacturing-error-based maintenance for high-precision machine tools EI SCIE Scopus
期刊论文 | 2018 , 95 (1-4) , 205-217 | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
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Abstract :

Nowadays, the condition-based maintenance (CBM), in which repairs are triggered by the heuristic symptoms of the component faults, is finding increasing applications in the industrial fields. However, for the high-precision machine tools, the conventional CBM might not be the optimal option, which is uneconomic and incapable of ensuring their machining accuracy. In order to overcome these shortcomings, this paper propose the manufacturing-error-based maintenance (MEBM), where the repairs are initiated based on the manufacturing errors instead of the heuristic symptoms. In MEBM, repairs are taken properly at the occurrence of the excessive machining errors, and therefore, the premature and redundant maintenance can be avoided and the maintenance cost can be minimized; what is more, the machining errors are controlled in the closed loops, and therefore, the machining accuracy can be guaranteed. Based on the principles of the MEBM, a prototype maintenance system-the transient backlash error (TBE)-based maintenance system-is established. To achieve this aim, first, the width of the backlash in the mechanical chain is measured by utilizing the built-in encoders and the analytical mapping relationship between the backlash width and the TBE is derived. Relying on these foundations, the TBE can be indirectly estimated. Then, the warning threshold of the TBE is customized according to the permissible roundness error of the workpiece. Thus, the maintenance actions can be precisely implemented: when the monitored TBE exceeds its warning threshold, maintenance workers will be notified to lessen the backlash width, and meanwhile, the permissible maximal size for the backlash will also be informed.

Keyword :

Lead error Mechanical chain accuracy Backlash Maintenance Machining error CNC machine tools

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GB/T 7714 Shi, Shengyu , Lin, Jing , Xu, Xiaoqiang et al. Manufacturing-error-based maintenance for high-precision machine tools [J]. | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY , 2018 , 95 (1-4) : 205-217 .
MLA Shi, Shengyu et al. "Manufacturing-error-based maintenance for high-precision machine tools" . | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 95 . 1-4 (2018) : 205-217 .
APA Shi, Shengyu , Lin, Jing , Xu, Xiaoqiang , Feng, Xiaobing , Piano, Samanta . Manufacturing-error-based maintenance for high-precision machine tools . | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY , 2018 , 95 (1-4) , 205-217 .
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An improved time reversal method for diagnostics of composite plates using Lamb waves EI SCIE Scopus
期刊论文 | 2018 , 190 , 10-19 | COMPOSITE STRUCTURES
WoS CC Cited Count: 2 SCOPUS Cited Count: 2
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Abstract :

The time reversal method has been widely used to detect damage in composite plates. Based on the time reversibility of Lamb waves, the waveform of the original input signal will be reconstructed after the time reversal process. However, the time reversal operator of Lamb waves in composite plates is a function of frequency. Thus the shape of the reconstructed signal will not be identical to that of the original input signal. To alleviate the effects of the time reversal operator, an improved time reversal method (ITRM) is proposed. In this method, the response signal in the forward path and the reconstructed signal in the time reversed path are both modulated by a weight vector which is obtained as the product of a window function and the reciprocal of amplitude dispersion. The window function varies with the excitation signal adaptively, and its shape is also determined by a threshold. An experimental example is then introduced to illustrate the effectiveness of the ITRM. The results show that the time reversibility can be greatly enhanced and the impact damage in the composite plate can be exactly located by the ITRM.

Keyword :

Composite Time reversal operator Damage detection Lamb wave

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GB/T 7714 Huang, Liping , Zeng, Liang , Lin, Jing et al. An improved time reversal method for diagnostics of composite plates using Lamb waves [J]. | COMPOSITE STRUCTURES , 2018 , 190 : 10-19 .
MLA Huang, Liping et al. "An improved time reversal method for diagnostics of composite plates using Lamb waves" . | COMPOSITE STRUCTURES 190 (2018) : 10-19 .
APA Huang, Liping , Zeng, Liang , Lin, Jing , Luo, Zhi . An improved time reversal method for diagnostics of composite plates using Lamb waves . | COMPOSITE STRUCTURES , 2018 , 190 , 10-19 .
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Investigation on the subsynchronous pseudo-vibration of rotating machinery EI SCIE Scopus
期刊论文 | 2018 , 423 , 340-354 | JOURNAL OF SOUND AND VIBRATION
WoS CC Cited Count: 2 SCOPUS Cited Count: 3
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Abstract :

Subsynchronous pseudo-vibration (SPV) of rotating machinery is one of the primary reasons for fault misdiagnosis. SPV has similar signal signatures to those of a real fault, which usually leads to excessive maintenance or even unscheduled shutdown. For this reason, it is essential to investigate the root causes of SPV so as to reduce unnecessary downtime and maintenance cost. Aiming at this issue, a novel signal model for rotor non-contact vibration is built to describe the generating mechanism of one kind of SPV by considering the combined effects of rotor axial motion and detection surface runout on vibration signal. To obtain more discriminative fault features from the vibration signals, the two-dimension holospectrum (2DH) is employed to integrate the phase information from two perpendicularly installed sensors. The characteristics of precession orbit used to describe the lateral motion of a rotor could be fully extracted by 2DH. It is shown that the precession orbit at the fault feature frequency will degenerate into a straight line when SPV occurs, and thus the eccentricity of precession orbit could be considered as a key feature for discriminating SPV from real subsynchronous vibration (RSV). The effectiveness of proposed method was validated on a rotor test rig. By using this method, the SPV problem of a real gearbox in a blast furnace blower set in a steel mill was successfully diagnosed. (C) 2018 Elsevier Ltd. All rights reserved.

Keyword :

Holospectrum Non-contact vibration Rotor axial motion Subsynchronous pseudo-vibration

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GB/T 7714 Qu, Lei , Liao, Yuhe , Lin, Jing et al. Investigation on the subsynchronous pseudo-vibration of rotating machinery [J]. | JOURNAL OF SOUND AND VIBRATION , 2018 , 423 : 340-354 .
MLA Qu, Lei et al. "Investigation on the subsynchronous pseudo-vibration of rotating machinery" . | JOURNAL OF SOUND AND VIBRATION 423 (2018) : 340-354 .
APA Qu, Lei , Liao, Yuhe , Lin, Jing , Zhao, Ming . Investigation on the subsynchronous pseudo-vibration of rotating machinery . | JOURNAL OF SOUND AND VIBRATION , 2018 , 423 , 340-354 .
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Baseline-free damage detection in composite plates based on the reciprocity principle EI SCIE Scopus
期刊论文 | 2018 , 27 (1) | SMART MATERIALS AND STRUCTURES
WoS CC Cited Count: 3 SCOPUS Cited Count: 3
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Abstract :

Lamb wave based damage detection techniques have been widely used in composite structures. In particular, these techniques usually rely on reference signals, which are significantly influenced by the operational and environmental conditions. To solve this issue, this paper presents a baseline-free damage inspection method based on the reciprocity principle. If a localized nonlinear scatterer exists along the wave path, the reciprocity breaks down. Through estimating the loss of reciprocity, the delamination could be detected. A reciprocity index (RI), which compares the discrepancy between the signal received in transducer B when emitting from transducer A and the signal received in A when the same source is located in B, is established to quantitatively analyze the reciprocity. Experimental results show that the RI value of a damaged path is much higher than that of a healthy path. In addition, the effects of the parameters of excitation signal (i.e., central frequency and bandwidth) and the position of delamination on the RI value are discussed. Furthermore, a RI based probabilistic imaging algorithm is proposed for detecting delamination damage of composite plates without reference signals. Finally, the effectiveness of this baseline-free damage detection method is validated by an experimental example.

Keyword :

reciprocity principle baseline-free delamination nonlinear scatterer composite

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GB/T 7714 Huang, Liping , Zeng, Liang , Lin, Jing . Baseline-free damage detection in composite plates based on the reciprocity principle [J]. | SMART MATERIALS AND STRUCTURES , 2018 , 27 (1) .
MLA Huang, Liping et al. "Baseline-free damage detection in composite plates based on the reciprocity principle" . | SMART MATERIALS AND STRUCTURES 27 . 1 (2018) .
APA Huang, Liping , Zeng, Liang , Lin, Jing . Baseline-free damage detection in composite plates based on the reciprocity principle . | SMART MATERIALS AND STRUCTURES , 2018 , 27 (1) .
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Adaptive determination of fundamental frequency for direct time-domain averaging EI SCIE Scopus
期刊论文 | 2018 , 124 , 351-358 | MEASUREMENT
WoS CC Cited Count: 1 SCOPUS Cited Count: 1
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Abstract :

Time-domain averaging (TDA), as an effective signal processing technique for periodic signal enhancement has been widely used for fault detection of gearboxes and bearings. TDA normally requires a tachometer signal to provide an accurate estimation of fundamental frequency. However, tachometer is unavailable or difficult to use in many applications. In this paper, an adaptive fundamental-frequency determination method without tachometer signal is proposed. Firstly, the effect of fundamental-frequency estimation error on direct TDA is investigated, and it indicates that minor error of estimation can cause severe deterioration in curve of attenuation coefficient. Secondly, harmonic-to-noise ratio (HNR) is proposed to evaluate the result of direct TDA for a given fundamental frequency, and it is utilized to optimize the fundamental frequency from a number of candidates. Finally, average waveform is obtained by implementing direct TDA with the optimized fundamental frequency. Examples of gear faults are given to verify the proposed method. The derived fundamental frequency is accurate, and average waveforms indicate the presence of gear faults successfully.

Keyword :

Harmonic-to-noise ratio Gear faults Fundamental frequency Time-domain averaging Periodic signal

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GB/T 7714 Xu, Xiaoqiang , Lin, Jing , Yan, Chang . Adaptive determination of fundamental frequency for direct time-domain averaging [J]. | MEASUREMENT , 2018 , 124 : 351-358 .
MLA Xu, Xiaoqiang et al. "Adaptive determination of fundamental frequency for direct time-domain averaging" . | MEASUREMENT 124 (2018) : 351-358 .
APA Xu, Xiaoqiang , Lin, Jing , Yan, Chang . Adaptive determination of fundamental frequency for direct time-domain averaging . | MEASUREMENT , 2018 , 124 , 351-358 .
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NH3 Coverage Ratio Estimation of Diesel-Engine SCR Systems by a Dual Time-Scale Extended Kalman Filter EI SCIE Scopus
期刊论文 | 2018 , 67 (4) , 3625-3629 | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
WoS CC Cited Count: 2 SCOPUS Cited Count: 3
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Abstract :

For the sake of reducing the computational load and enhancing the implementation possibility, a dual time-scale extended Kalman filter is developed in this paper. First, a conventional multistate mathematical selective catalytic reduction (SCR) model is simplified into a single-state SCR model. This simplification would reduce the computational cost a lot. Inspired by the fact that the variation of NH3 coverage ratio between two cells changes relatively slow, then, the dual time-scale extended Kalman filter is proposed. The dual time-scales include one fast time-scale for the average NH3 coverage ratio and a slow time-scale for the difference of NH3 coverage ratios between the actual cell and the average value. In the dual time-scale scenario, it is unnecessary to estimate the NH3 coverage ratio of each SCR cell every time. Finally, simulation results for a medium-duty diesel engine through the MATLAB/SIMULINK show the proposed method has good performance and lower computational load.

Keyword :

computational load dual time-scale Kalman filter NH3 coverage ratio Two-cell selective catalytic reduction

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GB/T 7714 Jiang, Kai , Zhang, Hui , Lin, Jing . NH3 Coverage Ratio Estimation of Diesel-Engine SCR Systems by a Dual Time-Scale Extended Kalman Filter [J]. | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY , 2018 , 67 (4) : 3625-3629 .
MLA Jiang, Kai et al. "NH3 Coverage Ratio Estimation of Diesel-Engine SCR Systems by a Dual Time-Scale Extended Kalman Filter" . | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 67 . 4 (2018) : 3625-3629 .
APA Jiang, Kai , Zhang, Hui , Lin, Jing . NH3 Coverage Ratio Estimation of Diesel-Engine SCR Systems by a Dual Time-Scale Extended Kalman Filter . | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY , 2018 , 67 (4) , 3625-3629 .
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