Model-based prognostics approaches use domain knowledge about a system and its failure modes through the use of physics-based models. Model-based prognosis is generally divided into two sequential problems: a joint state-parameter estimation problem, in which, using the model, the health of a system or component is determined based on the observations; and a prediction problem, in which, using the model, the state-parameter distribution is simulated forward in time to compute end of life and remaining useful life. The first problem is typically solved through the use of a state observer, or filter. The choice of filter depends on the assumptions that may be made about the system, and on the desired algorithm performance. In this paper, we review three separate filters for the solution to the first problem: the Daum filter, an exact nonlinear filter; the unscented Kalman filter, which approximates nonlinearities through the use of a deterministic sampling method known as the unscented transform; and the particle filter, which approximates the state distribution using a finite set of discrete, weighted samples, called particles. Using a centrifugal pump as a case study, we conduct a number of simulation-based experiments investigating the performance of the different algorithms as applied to prognostics.
Contains scans of a bin filled with different parts ( screws, nuts, rods, spheres, sprockets). For each part type, RGB image and organized 3D point cloud obtained with structured light sensor are provided. In addition, unorganized 3D point cloud representing an empty bin and a small Matlab script to read the files is also provided. 3D data contain a lot of outliers and the data were used to demonstrate a new filtering technique.
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This contains two datasets used for demonstrate the dangers and solutions for post search filter in crosslinking mass-spectrometry. A dataset of search results for mycoplasma pneumonia acquisitions and escherichia coli. Both where searched against a combined database of all e.coli and mycoplasma pneumonia proteins.
These are results without any cut-off and are the base of testing if a filter or processing step is actually affecting decoys differently then target false positives. The idea being that these search results provide an decoy independent set of known false positive matches; all matches involving e.coli peptides to mycoplasma spectra and all matches involving mycoplasma pneumonia peptides to e.coli spectra. In the original use case the data where used to detect if a filter, that uses match external information to filter individual matches, results in an underrepresentation of decoys when compared to these secondary known false positives and how at least no contradiction was found when applying teh ec-filter style of applying the information.
The second dataset is a set of FDR results for 2% unique residue pair FDR of an yeast 26S Proteasome acquisition run with and without using the ec-filter and each of tzhese with and without xiFDR in built boosting. The spectra where searched against increasingly larger databases to show the effect of filtering the results depending on the database size – both in terms of present and assumed non-present proteins.
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Filtering Criteria for autovalidation of database search results.
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Costa Rica Imports of centrifuges; filtering or purifying machinery from Turkmenistan was US$107 during 2019, according to the United Nations COMTRADE database on international trade. Costa Rica Imports of centrifuges; filtering or purifying machinery from Turkmenistan - data, historical chart and statistics - was last updated on June of 2025.
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Comparison of SEQUEST/DTASelect database search results, non-redundant spectra and protein counts with different filtering parameters and HM, post-database mapping of identified peptides to a protein dataset generated from assembled reads for the same metagenomic sample.
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Costa Rica Imports from Germany of Centrifuges; Filtering or Purifying Machinery was US$5.7 Million during 2023, according to the United Nations COMTRADE database on international trade. Costa Rica Imports from Germany of Centrifuges; Filtering or Purifying Machinery - data, historical chart and statistics - was last updated on May of 2025.
Many diagnostic datasets suffer from the adverse effects of spikes that are embedded in data and noise. For example, this is true for electrical power system data where the switches, relays, and inverters are major contributors to these effects. Spikes are mostly harmful to the analysis of data in that they throw off real-time detection of abnormal conditions, and classification of faults. Since noise and spikes are mixed together and embedded within the data, removal of the unwanted signals from the data is not always easy and may result in losing the integrity of the information carried by the data. Additionally, in some applications noise and spikes need to be filtered independently. The proposed algorithm is a multi-resolution filtering approach based on Haar wavelets that is capable of removing spikes while incurring insignificant damage to other data. In particular, noise in the data, which is a useful indicator that a sensor is healthy and not stuck, can be preserved using our approach. Presented here is the theoretical background with some examples from a realistic testbed.
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Nigeria Imports of centrifuges; filtering or purifying machinery from Costa Rica was US$2.48 Thousand during 2020, according to the United Nations COMTRADE database on international trade. Nigeria Imports of centrifuges; filtering or purifying machinery from Costa Rica - data, historical chart and statistics - was last updated on June of 2025.
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Bermuda Imports from Mexico of Centrifuges; Filtering or Purifying Machinery was US$7.95 Thousand during 2023, according to the United Nations COMTRADE database on international trade. Bermuda Imports from Mexico of Centrifuges; Filtering or Purifying Machinery - data, historical chart and statistics - was last updated on June of 2025.
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Denmark Imports from Ecuador of Centrifuges; Filtering or Purifying Machinery was US$2.58 Thousand during 2024, according to the United Nations COMTRADE database on international trade. Denmark Imports from Ecuador of Centrifuges; Filtering or Purifying Machinery - data, historical chart and statistics - was last updated on June of 2025.
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United States Imports from Japan of Centrifuges; Filtering or Purifying Machinery was US$679.79 Million during 2024, according to the United Nations COMTRADE database on international trade. United States Imports from Japan of Centrifuges; Filtering or Purifying Machinery - data, historical chart and statistics - was last updated on June of 2025.
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Ghana Imports of centrifuges; filtering or purifying machinery from Aruba was US$7.84 Thousand during 2019, according to the United Nations COMTRADE database on international trade. Ghana Imports of centrifuges; filtering or purifying machinery from Aruba - data, historical chart and statistics - was last updated on June of 2025.
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Norway Imports of centrifuges; filtering or purifying machinery from Niger was US$559 during 2024, according to the United Nations COMTRADE database on international trade. Norway Imports of centrifuges; filtering or purifying machinery from Niger - data, historical chart and statistics - was last updated on May of 2025.
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Mexico Imports from North Korea of Centrifuges; Filtering or Purifying Machinery was US$90.24 Thousand during 2017, according to the United Nations COMTRADE database on international trade. Mexico Imports from North Korea of Centrifuges; Filtering or Purifying Machinery - data, historical chart and statistics - was last updated on June of 2025.
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Aruba Imports from United States of Centrifuges; Filtering or Purifying Machinery was US$3.27 Million during 2023, according to the United Nations COMTRADE database on international trade. Aruba Imports from United States of Centrifuges; Filtering or Purifying Machinery - data, historical chart and statistics - was last updated on June of 2025.
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Bermuda Imports of centrifuges; filtering or purifying machinery from Switzerland was US$381 during 2023, according to the United Nations COMTRADE database on international trade. Bermuda Imports of centrifuges; filtering or purifying machinery from Switzerland - data, historical chart and statistics - was last updated on June of 2025.
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Bermuda Imports from Japan of Centrifuges; Filtering or Purifying Machinery was US$9.36 Thousand during 2023, according to the United Nations COMTRADE database on international trade. Bermuda Imports from Japan of Centrifuges; Filtering or Purifying Machinery - data, historical chart and statistics - was last updated on June of 2025.
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Bermuda Imports of centrifuges; filtering or purifying machinery from Brazil was US$66 during 2023, according to the United Nations COMTRADE database on international trade. Bermuda Imports of centrifuges; filtering or purifying machinery from Brazil - data, historical chart and statistics - was last updated on June of 2025.
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Fiji Imports of centrifuges; filtering or purifying machinery from Norway was US$2.64 Thousand during 2021, according to the United Nations COMTRADE database on international trade. Fiji Imports of centrifuges; filtering or purifying machinery from Norway - data, historical chart and statistics - was last updated on June of 2025.
Model-based prognostics approaches use domain knowledge about a system and its failure modes through the use of physics-based models. Model-based prognosis is generally divided into two sequential problems: a joint state-parameter estimation problem, in which, using the model, the health of a system or component is determined based on the observations; and a prediction problem, in which, using the model, the state-parameter distribution is simulated forward in time to compute end of life and remaining useful life. The first problem is typically solved through the use of a state observer, or filter. The choice of filter depends on the assumptions that may be made about the system, and on the desired algorithm performance. In this paper, we review three separate filters for the solution to the first problem: the Daum filter, an exact nonlinear filter; the unscented Kalman filter, which approximates nonlinearities through the use of a deterministic sampling method known as the unscented transform; and the particle filter, which approximates the state distribution using a finite set of discrete, weighted samples, called particles. Using a centrifugal pump as a case study, we conduct a number of simulation-based experiments investigating the performance of the different algorithms as applied to prognostics.