To overcome the large time-delay in measuring the hardness of mixed rubber, rheological parameters were used to predict the hardness. A novel Q-based model updating strategy was proposed as a universal platform to tra...To overcome the large time-delay in measuring the hardness of mixed rubber, rheological parameters were used to predict the hardness. A novel Q-based model updating strategy was proposed as a universal platform to track time-varying properties. Using a few selected support samples to update the model, the strategy could dramat- ically save the storage cost and overcome the adverse influence of low signal-to-noise ratio samples. Moreover, it could be applied to any statistical process monitoring system without drastic changes to them, which is practical for industrial practices. As examples, the Q-based strategy was integrated with three popular algorithms （partial least squares （PIE）, recursive PIE （RPLS）, and kernel PIE （KPIE）） to form novel regression ones, QPLS, QRPIE and QKPLS, respectively. The applications for predicting mixed rubber hardness on a large-scale tire plant in east China prove the theoretical considerations.展开更多
After graduating from Zhejiang University in 1952, I came to work at the Institute of Petroleum Processing (which was renamed the Dalian Institute of Chemical Physics in 1959) under the CAS in Dalian City and served a...After graduating from Zhejiang University in 1952, I came to work at the Institute of Petroleum Processing (which was renamed the Dalian Institute of Chemical Physics in 1959) under the CAS in Dalian City and served as a research chemist there. In the 1950s,my research interest was mainly concentrated on synthetic liquid fuels. After the discovery of a large oilfield in the Daqing area in 1960, a great impetus was brought to the展开更多
文摘To overcome the large time-delay in measuring the hardness of mixed rubber, rheological parameters were used to predict the hardness. A novel Q-based model updating strategy was proposed as a universal platform to track time-varying properties. Using a few selected support samples to update the model, the strategy could dramat- ically save the storage cost and overcome the adverse influence of low signal-to-noise ratio samples. Moreover, it could be applied to any statistical process monitoring system without drastic changes to them, which is practical for industrial practices. As examples, the Q-based strategy was integrated with three popular algorithms （partial least squares （PIE）, recursive PIE （RPLS）, and kernel PIE （KPIE）） to form novel regression ones, QPLS, QRPIE and QKPLS, respectively. The applications for predicting mixed rubber hardness on a large-scale tire plant in east China prove the theoretical considerations.
文摘After graduating from Zhejiang University in 1952, I came to work at the Institute of Petroleum Processing (which was renamed the Dalian Institute of Chemical Physics in 1959) under the CAS in Dalian City and served as a research chemist there. In the 1950s,my research interest was mainly concentrated on synthetic liquid fuels. After the discovery of a large oilfield in the Daqing area in 1960, a great impetus was brought to the
