The Experts below are selected from a list of 168 Experts worldwide ranked by ideXlab platform
Shigeto Kawashima - One of the best experts on this subject based on the ideXlab platform.
-
Estimation of pollen counts from light scattering intensity when sampling multiple pollen taxa – establishment of an automated multi-taxa pollen counting estimation system (AME system)
Atmospheric Measurement Techniques, 2021Co-Authors: Kenji Miki, Shigeto KawashimaAbstract:Abstract. Laser optics have long been used in pollen counting systems. To clarify the limitations and potential new applications of laser optics for automatic pollen counting and discrimination, we determined the light scattering patterns of various pollen types, tracked temporal changes in these distributions, and introduced a new theory for automatic pollen discrimination. Our experimental results indicate that different pollen types often have different light scattering characteristics, as previous research has suggested. Our results also show that light scattering distributions did not undergo significant temporal changes. Further, we show that the concentration of two different types of pollen could be estimated separately from the total number of pollen grains by fitting the light scattering data to a Probability Density Curve. These findings should help realize a fast and simple automatic pollen monitoring system.
-
Estimation of pollen counts from light scattering intensity when sampling multiple pollen taxa – Establishment of Automated Multi-taxa Pollen Counting Estimation System (AME System)
2020Co-Authors: Kenji Miki, Shigeto KawashimaAbstract:Abstract. Laser optics have long been used in pollen counting systems. To clarify the limitations and potential new applications of laser optics for automatic pollen counting and discrimination, we determined the light scattering patterns of various pollen types, tracked temporal changes in these distributions, and introduced a new theory for automatic pollen discrimination. Our experimental results indicate that different pollen types often have different light scattering characteristics, as previous research has suggested. Our results also show that light scattering distributions did not undergo significant temporal changes. Further, we show that the concentration of two different types of pollen could be estimated separately from the total number of pollen grains by fitting the light scattering data to a Probability Density Curve. These findings should help realize a fast and simple automatic pollen monitoring system.
Zhenyu Wang - One of the best experts on this subject based on the ideXlab platform.
-
Fatigue reliability analysis of wind turbine tower under random wind load
Structural Safety, 2020Co-Authors: Jianbin Zhao, Jing Yao, Armand Robinson Mouafo Teifouet, Liyun Sun, Zhenyu WangAbstract:Abstract It is important to understand the vibration response and fatigue characteristics of the wind turbine structure. The fatigue reliability of the tower flange and bolt is studied in this paper. Firstly, by using the orthogonal expansion method and the Numerical-Theoretical method of random dynamic action, the random fluctuating wind field is expanded into a set of scattered points to calculate the wind load. The numerical calculation of the dynamic response of the wind turbine is verified with the measured data. Then, a fatigue Probability calculation method based on the Probability Density evolution method is proposed. It is an effective method to substitute the fatigue damage D obtained by a rain flow counting method into the Probability Density evolution equation to solve the Probability Density of fatigue damage. In the end, a 1.5 MW wind turbine tower was taken as an example for analyzing the fatigue damage of its flange and bolt which considers the wind speed and wind direction distribution. By using the Probability Density evolution method, the evolution Probability Density Curve clusters of the structural responses can be given accurately and quantitatively; thus, the reliability of the structure under random load can be conveniently obtained.
Kenji Miki - One of the best experts on this subject based on the ideXlab platform.
-
Estimation of pollen counts from light scattering intensity when sampling multiple pollen taxa – establishment of an automated multi-taxa pollen counting estimation system (AME system)
Atmospheric Measurement Techniques, 2021Co-Authors: Kenji Miki, Shigeto KawashimaAbstract:Abstract. Laser optics have long been used in pollen counting systems. To clarify the limitations and potential new applications of laser optics for automatic pollen counting and discrimination, we determined the light scattering patterns of various pollen types, tracked temporal changes in these distributions, and introduced a new theory for automatic pollen discrimination. Our experimental results indicate that different pollen types often have different light scattering characteristics, as previous research has suggested. Our results also show that light scattering distributions did not undergo significant temporal changes. Further, we show that the concentration of two different types of pollen could be estimated separately from the total number of pollen grains by fitting the light scattering data to a Probability Density Curve. These findings should help realize a fast and simple automatic pollen monitoring system.
-
Estimation of pollen counts from light scattering intensity when sampling multiple pollen taxa – Establishment of Automated Multi-taxa Pollen Counting Estimation System (AME System)
2020Co-Authors: Kenji Miki, Shigeto KawashimaAbstract:Abstract. Laser optics have long been used in pollen counting systems. To clarify the limitations and potential new applications of laser optics for automatic pollen counting and discrimination, we determined the light scattering patterns of various pollen types, tracked temporal changes in these distributions, and introduced a new theory for automatic pollen discrimination. Our experimental results indicate that different pollen types often have different light scattering characteristics, as previous research has suggested. Our results also show that light scattering distributions did not undergo significant temporal changes. Further, we show that the concentration of two different types of pollen could be estimated separately from the total number of pollen grains by fitting the light scattering data to a Probability Density Curve. These findings should help realize a fast and simple automatic pollen monitoring system.
Jianbin Zhao - One of the best experts on this subject based on the ideXlab platform.
-
Fatigue reliability analysis of wind turbine tower under random wind load
Structural Safety, 2020Co-Authors: Jianbin Zhao, Jing Yao, Armand Robinson Mouafo Teifouet, Liyun Sun, Zhenyu WangAbstract:Abstract It is important to understand the vibration response and fatigue characteristics of the wind turbine structure. The fatigue reliability of the tower flange and bolt is studied in this paper. Firstly, by using the orthogonal expansion method and the Numerical-Theoretical method of random dynamic action, the random fluctuating wind field is expanded into a set of scattered points to calculate the wind load. The numerical calculation of the dynamic response of the wind turbine is verified with the measured data. Then, a fatigue Probability calculation method based on the Probability Density evolution method is proposed. It is an effective method to substitute the fatigue damage D obtained by a rain flow counting method into the Probability Density evolution equation to solve the Probability Density of fatigue damage. In the end, a 1.5 MW wind turbine tower was taken as an example for analyzing the fatigue damage of its flange and bolt which considers the wind speed and wind direction distribution. By using the Probability Density evolution method, the evolution Probability Density Curve clusters of the structural responses can be given accurately and quantitatively; thus, the reliability of the structure under random load can be conveniently obtained.
Jianming Zhai - One of the best experts on this subject based on the ideXlab platform.
-
a methodology to determine a conditional Probability Density distribution surface from s n data
International Journal of Fatigue, 2012Co-Authors: Jianming Zhai, Xiaoyang LiAbstract:A conditional Probability Density distribution surface (CPDDS) is constructed by two functions in this paper. One is the function of population mean and the stress level; the other is the function of standard deviation and the stress level. The surface represents the Probability Density Curve of fatigue life changing with the stress level. A new definition of fatigue limit as well as the determination method is given in this paper according to the small Probability event of CPDDS. The proposed method can save considerable cost and time in the determination of fatigue limit.
-
A methodology to determine a conditional Probability Density distribution surface from S–N data
International Journal of Fatigue, 2012Co-Authors: Jianming ZhaiAbstract:A conditional Probability Density distribution surface (CPDDS) is constructed by two functions in this paper. One is the function of population mean and the stress level; the other is the function of standard deviation and the stress level. The surface represents the Probability Density Curve of fatigue life changing with the stress level. A new definition of fatigue limit as well as the determination method is given in this paper according to the small Probability event of CPDDS. The proposed method can save considerable cost and time in the determination of fatigue limit.