摘要 :
The mine hoist operation status is closely related to the vibration signal of the hoist various components. using optical fiber sensing technology, this paper designed a hoist fault diagnosis system based on vibration spectrum ana...
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The mine hoist operation status is closely related to the vibration signal of the hoist various components. using optical fiber sensing technology, this paper designed a hoist fault diagnosis system based on vibration spectrum analysis. Through rapid demodulation of real-time vibration signal, the system realized vibration spectrum analysis to various parts of the hoist. The test results show that the system can achieve effective monitoring of the various parts of the hoist operating status, provide an important basis for fault diagnosis.
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摘要 :
Yunnan Titanium Industry Co., Ltd. (Here after refers to "YUNTI") utilizes the Steckel Mill and 4-high Cold Mill imported from Tippins Inc., USA. for Titanium coils hot-rolling and cold-rolling. Complete production process of Shot...
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Yunnan Titanium Industry Co., Ltd. (Here after refers to "YUNTI") utilizes the Steckel Mill and 4-high Cold Mill imported from Tippins Inc., USA. for Titanium coils hot-rolling and cold-rolling. Complete production process of Shot Blasting, Acid Pickling, Degreasing, Annealing, etc. will be carried for Titanium Coil. This article presents "Steel-Titanium" combination production process carried by YUNTI. The product property and surface quality problems have been gradually solved for cold-rolled Titanium coils through continuous study, creative and improvement for the Argon Protection Bell Annealing Process. It has been achieved for process stable, quality under controlling, commercial and batch production for cold-rolled Titanium Coil.
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摘要 :
Yunnan Titanium Industry Co., Ltd. (Here after refers to "YUNTI") utilizes the Steckel Mill and 4-high Cold Mill imported from Tippins Inc., USA. for Titanium coils hot-rolling and cold-rolling. Complete production process of Shot...
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Yunnan Titanium Industry Co., Ltd. (Here after refers to "YUNTI") utilizes the Steckel Mill and 4-high Cold Mill imported from Tippins Inc., USA. for Titanium coils hot-rolling and cold-rolling. Complete production process of Shot Blasting, Acid Pickling, Degreasing, Annealing, etc. will be carried for Titanium Coil. This article presents "Steel-Titanium" combination production process carried by YUNTI. The product property and surface quality problems have been gradually solved for cold-rolled Titanium coils through continuous study, creative and improvement for the Argon Protection Bell Annealing Process. It has been achieved for process stable, quality under controlling, commercial and batch production for cold-rolled Titanium Coil.
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摘要 :
The inner-formation gravity field measurement satellite system is a novel concept
and can finish the high precision gravity field measurement. The inner-
formation system is composed of the outer satellite and the inner satellit...
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The inner-formation gravity field measurement satellite system is a novel concept
and can finish the high precision gravity field measurement. The inner-
formation system is composed of the outer satellite and the inner satellite
which shielded in the cavity center of the outer satellite and without connection
with the outer satellite. And the control of the inner-formation system can treat
as a formation of zero size using the inner satellite as reference. In order to finish
the in-orbit, real time control of the inner-formation system and satisfy the
performance requirements of gravity field measurement in low orbit, the control
system of the inner-formation system need provide precision control.
Through compensating most of air drag, the precision control system can reduce
the disturbance of the feedback controller. The paper proposed a hybrid
control scheme includes feed forward and feedback control, then the nonlinear
model predictive control method with disturbance compensation is also proposed
which the disturbance estimation method is unscented Kalman filter. The
precision control system can finish the integrate control of attitude and orbit
for the inner-formation gravity field measurement satellite system with limited
inputs, and the maintenance accuracy of the relative position is not surpass
0.05cm, the attitude stabilization control accuracy is better than 0.03°, which
meet the strong constraints of the relatively position and high attitude stabilization
required by the gravity field measurement mission. The precision control
system designed for inner-formation system can ensure that the influence
caused by different disturbances is controlled in 10~(-11)g level.
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摘要 :
The inner-formation gravity field measurement satellite system is a novel concept
and can finish the high precision gravity field measurement. The inner-
formation system is composed of the outer satellite and the inner satellite
...
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The inner-formation gravity field measurement satellite system is a novel concept
and can finish the high precision gravity field measurement. The inner-
formation system is composed of the outer satellite and the inner satellite
which shielded in the cavity center of the outer satellite and without connection
with the outer satellite. And the control of the inner-formation system can treat
as a formation of zero size using the inner satellite as reference. In order to finish
the in-orbit, real time control of the inner-formation system and satisfy the
performance requirements of gravity field measurement in low orbit, the control
system of the inner-formation system need provide precision control.
Through compensating most of air drag, the precision control system can reduce
the disturbance of the feedback controller. The paper proposed a hybrid
control scheme includes feed forward and feedback control, then the nonlinear
model predictive control method with disturbance compensation is also proposed
which the disturbance estimation method is unscented Kalman filter. The
precision control system can finish the integrate control of attitude and orbit
for the inner-formation gravity field measurement satellite system with limited
inputs, and the maintenance accuracy of the relative position is not surpass
0.05cm, the attitude stabilization control accuracy is better than 0.03°, which
meet the strong constraints of the relatively position and high attitude stabilization
required by the gravity field measurement mission. The precision control
system designed for inner-formation system can ensure that the influence
caused by different disturbances is controlled in 10~(-11)g level.
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摘要 :
Most recently, an emerging Compressed Sensing (CS) theory has brought a major breakthrough for data acquisition and recovery. It asserts that a signal, which is highly compressible in a known basis, can be reconstructed with high ...
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Most recently, an emerging Compressed Sensing (CS) theory has brought a major breakthrough for data acquisition and recovery. It asserts that a signal, which is highly compressible in a known basis, can be reconstructed with high probability through sampling frequency which is well below Nyquist Sampling Frequency. When applying CS to Remote Sensing (RS) Video imaging, it can directly and efficiently acquire compressed image data by randomly projecting original data to obtain linear and non-adaptive measurements. In this paper, with the help of distributed video coding scheme which is a low-complexity technique for resource limited sensors, the frames of a RS video sequence are divided into Key frames (K frames) and Non-Key frames (CS frames). In other words, the input video sequence consists of many groups of pictures (GOPs) and each GOP consists of one K frame followed by several CS frames. Both of them are measured based on block, but at different sampling rates. In this way, the major encoding computation burden will be shifted to the decoder. At the decoder, the Side Information (SI) is generated for the CS frames using traditional Motion-Compensated Interpolation (MCI) technique according to the reconstructed key frames. The over-complete dictionary is trained by dictionary learning methods based on SI. These learning methods include ICA-like, PCA, K-SVD, MOD, etc. Using these dictionaries, the CS frames could be reconstructed according to sparse-land model. In the numerical experiments, the reconstruction performance of ICA algorithm, which is often evaluated by Peak Signal-to-Noise Ratio (PSNR), has been made compared with other online sparse representation algorithms. The simulation results show its advantages in reducing reconstruction time and robustness in reconstruction performance when applying ICA algorithm to remote sensing video reconstruction.
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摘要 :
Most recently, an emerging Compressed Sensing (CS) theory has brought a major breakthrough for data acquisition and recovery. It asserts that a signal, which is highly compressible in a known basis, can be reconstructed with high ...
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Most recently, an emerging Compressed Sensing (CS) theory has brought a major breakthrough for data acquisition and recovery. It asserts that a signal, which is highly compressible in a known basis, can be reconstructed with high probability through sampling frequency which is well below Nyquist Sampling Frequency. When applying CS to Remote Sensing (RS) Video imaging, it can directly and efficiently acquire compressed image data by randomly projecting original data to obtain linear and non-adaptive measurements. In this paper, with the help of distributed video coding scheme which is a low-complexity technique for resource limited sensors, the frames of a RS video sequence are divided into Key frames (K frames) and Non-Key frames (CS frames). In other words, the input video sequence consists of many groups of pictures (GOPs) and each GOP consists of one K frame followed by several CS frames. Both of them are measured based on block, but at different sampling rates. In this way, the major encoding computation burden will be shifted to the decoder. At the decoder, the Side Information (SI) is generated for the CS frames using traditional Motion-Compensated Interpolation (MCI) technique according to the reconstructed key frames. The over-complete dictionary is trained by dictionary learning methods based on SI. These learning methods include ICA-like, PCA, K-SVD, MOD, etc. Using these dictionaries, the CS frames could be reconstructed according to sparse-land model. In the numerical experiments, the reconstruction performance of ICA algorithm, which is often evaluated by Peak Signal-to-Noise Ratio (PSNR), has been made compared with other online sparse representation algorithms. The simulation results show its advantages in reducing reconstruction time and robustness in reconstruction performance when applying ICA algorithm to remote sensing video reconstruction.
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摘要 :
Social media is the platform on which users can produce, share and exchange information, and it has become people's main medium of communication and access to information at present.Competitive intelligence is an important means f...
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Social media is the platform on which users can produce, share and exchange information, and it has become people's main medium of communication and access to information at present.Competitive intelligence is an important means for enterprises to achieve strategic objectives and economic benefits, and the sources of information as well as the access to information in competitive intelligence play a key role.The emergence of social media has opened up a new field of information sources and access to information in competitive intelligence.By exploring the features of social media and extracting its functions as enterprise user's analysis, competitor tracking, opportunity discovery as well as intelligence early warning, the study formats a service frame of social media's competitive intelligence, and discusses the content and method of social media's competitive intelligence.By analyzing the critical issues and main difficulties faced in the competitive intelligence service, the authors finally make an outlook of the future work.
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