Influence of Particle and Filter Charge on Filtration Property of Air Filter under Particle Loading
نویسندگان
چکیده
منابع مشابه
The Particle Filter and Extended Kalman Filter methods for the structural system identification considering various uncertainties
Structural system identification using recursive methods has been a research direction of increasing interest in recent decades. The two prominent methods, including the Extended Kalman Filter (EKF) and the Particle Filter (PF), also known as the Sequential Monte Carlo (SMC), are advantageous in this field. In this study, the system identification of a shake table test of a 4-story steel struct...
متن کاملHigh-efficiency particulate air filter test stand and aerosol generator for particle loading studies.
This manuscript describes the design, characterization, and operational range of a test stand and high-output aerosol generator developed to evaluate the performance of 30 x 30 x 29 cm(3) nuclear grade high-efficiency particulate air (HEPA) filters under variable, highly controlled conditions. The test stand system is operable at volumetric flow rates ranging from 1.5 to 12 standard m(3)/min. R...
متن کاملAir Pollution Technology Fact Sheet: Paper/Nonwoven Filter- High Efficiency Particle Air (HEPA) Filter
3. Applicable Pollutants: Submicron Particulate Matter (PM) greater than or equal to 0.3 micrometer (μm) in aerodynamic diameter, and PM greater than or equal to 0.12 μm in aerodynamic diameter that is chemically, biologically, or radioactively toxic; hazardous air pollutants (HAPs) that are in particulate form, such as most metals (mercury is the notable exception, as a significant portion of ...
متن کاملThe Unscented Particle Filter
In this paper, we propose a new particle filter based on sequential importance sampling. The algorithm uses a bank of unscented filters to obtain the importance proposal distribution. This proposal has two very "nice" properties. Firstly, it makes efficient use of the latest available information and, secondly, it can have heavy tails. As a result, we find that the algorithm outperforms standar...
متن کاملSelf Adaptive Particle Filter
The particle filter has emerged as a useful tool for problems requiring dynamic state estimation. The efficiency and accuracy of the filter depend mostly on the number of particles used in the estimation and on the propagation function used to re-allocate these particles at each iteration. Both features are specified beforehand and are kept fixed in the regular implementation of the filter. In ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Korean Society for Atmospheric Environment
سال: 2012
ISSN: 1598-7132
DOI: 10.5572/kosae.2012.28.6.644