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Calibration Process
The Experts below are selected from a list of 18510 Experts worldwide ranked by ideXlab platform
Indranil Brahma – One of the best experts on this subject based on the ideXlab platform.
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development of a model based transient Calibration Process for diesel engine electronic control module tables part 2 modelling and optimization
International Journal of Engine Research, 2012Co-Authors: Indranil BrahmaAbstract:This is the second part of a study investigating a model-based transient Calibration Process for diesel engines. The first part addressed the data requirements and data Processing required for empirical transient emission and torque models. The current work focuses on modelling and optimization. The unexpected result of this investigation is that when trained on transient data, simple regression models perform better than more powerful methods such as neural networks or localized regression. This result has been attributed to extrapolation over data that have estimated rather than measured transient air-handling parameters. The challenges of detecting and preventing extrapolation using statistical methods that work well with steady-state data have been explained. The concept of constraining the distribution of statistical leverage relative to the distribution of the starting solution to prevent extrapolation during the optimization Process has been proposed and demonstrated. Separate from the issue of ext…
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development of a model based transient Calibration Process for diesel engine electronic control module tables part 1 data requirements Processing and analysis
International Journal of Engine Research, 2012Co-Authors: Indranil BrahmaAbstract:This is the first part of a study investigating a model-based transient Calibration Process for diesel engines. The motivation is to populate hundreds of parameters (which can be calibrated) in a methodical and optimum manner by using model-based optimization in conjunction with the manual Process so that, relative to the manual Process used by itself, a significant improvement in transient emissions and fuel consumption and a sizable reduction in Calibration time and test cell requirements is achieved. Empirical transient modelling and optimization has been addressed in the second part of this work, while the required data for model training and generalization are the focus of the current work. Transient and steady-state data from a turbocharged multicylinder diesel engine have been examined from a model training perspective. A single-cylinder engine with external air-handling has been used to expand the steady-state data to encompass transient parameter space. Based on comparative model performance and …
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Development of a model-based transient Calibration Process for diesel engine electronic control module tables – Part 2: modelling and optimization
International Journal of Engine Research, 2011Co-Authors: Indranil BrahmaAbstract:This is the second part of a study investigating a model-based transient Calibration Process for diesel engines. The first part addressed the data requirements and data Processing required for empirical transient emission and torque models. The current work focuses on modelling and optimization. The unexpected result of this investigation is that when trained on transient data, simple regression models perform better than more powerful methods such as neural networks or localized regression. This result has been attributed to extrapolation over data that have estimated rather than measured transient air-handling parameters. The challenges of detecting and preventing extrapolation using statistical methods that work well with steady-state data have been explained. The concept of constraining the distribution of statistical leverage relative to the distribution of the starting solution to prevent extrapolation during the optimization Process has been proposed and demonstrated. Separate from the issue of ext…
H. Araiza – One of the best experts on this subject based on the ideXlab platform.
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CCE – Sequential injection analysis system for electronic tongues modelling and Calibration Process
2010 7th International Conference on Electrical Engineering Computing Science and Automatic Control, 2010Co-Authors: Rocio B. Dominguez, R. Muñoz, H. AraizaAbstract:Electronic tongues (ET) are low cost instruments to real time liquid samples determination. There is a vast field of application for ET (i.e. chemical, pharmaceutical, food and environmental analysis). Main disadvantage of ET is the large amount of data implied in the modeling and Calibration Process. To overcome this disadvantage an automated Sequential Injection Analysis (SIA) system is implemented in this work. By aspirating and mixing sequentially reactive and solutions a lot of samples can be obtained in a fully automated way. Totally controlled by a virtual instrument (VI) developed in LabVIEW 2009, the SIA system was operated at flow rates from 8.89 ml/min to 10.12 ml/min with a maximum standard deviation of 4.03% (lower was 1.5%). After flow rate characterization Process an automated dilution Process was successfully tested with an ion selective electrode of Sodium. Concentration range from 0.0365µM to 0.04 M was tested. Both steady state and transient response were acquired by the system and log period operation was also obtained. Coupling the system with a sensor array and an appropriate math tool is the next step in order to obtain an ET.
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Sequential injection analysis system for electronic tongues modelling and Calibration Process
2010 7th International Conference on Electrical Engineering Computing Science and Automatic Control, 2010Co-Authors: R. Domínguez, R. Muñoz, H. AraizaAbstract:Electronic tongues (ET) are low cost instruments to real time liquid samples determination. There is a vast field of application for ET (i.e. chemical, pharmaceutical, food and environmental analysis). Main disadvantage of ET is the large amount of data implied in the modeling and Calibration Process. To overcome this disadvantage an automated Sequential Injection Analysis (SIA) system is implemented in this work. By aspirating and mixing sequentially reactive and solutions a lot of samples can be obtained in a fully automated way. Totally controlled by a virtual instrument (VI) developed in LabVIEW 2009, the SIA system was operated at flow rates from 8.89 ml/min to 10.12 ml/min with a maximum standard deviation of 4.03% (lower was 1.5%). After flow rate characterization Process an automated dilution Process was successfully tested with an ion selective electrode of Sodium. Concentration range from 0.0365μM to 0.04 M was tested. Both steady state and transient response were acquired by the system and log period operation was also obtained. Coupling the system with a sensor array and an appropriate math tool is the next step in order to obtain an ET.
Benjaporn Arnuttinanon – One of the best experts on this subject based on the ideXlab platform.
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Operation verification of hybrid temperature recorder monitoring system
2011 IEEE International Conference on Mechatronics and Automation, 2011Co-Authors: Olarn Wongwirat, Keelati Oonchom, Benjaporn ArnuttinanonAbstract:In current HDDs (Hard Disk Drives) production line, the Calibration Process of burn-in chambers is required an engineer to manually monitor temperatures at the hybrid temperature recorder throughout the period of Calibration Process. It is a time consuming and inefficient operation, due to a large amount of burn-in chambers used in the production line comparing with a limited number of engineers to handle. To improve the monitoring procedure of current Calibration Process, a hybrid temperature recorder monitoring system is developed. The system is composed of two subsystems, i.e., a temperature recording subsystem and a monitoring subsystem, interconnected through a wireless network. To verify the accuracy of system operation, the simulation experiment is set up by acquiring an actual data from current Calibration Process in the production line. The actual data used to verify in the experiment reflects the results of operation found in three cases, i.e., normal operation, loose probe, and broken probe. The experimental results express that the system yields the same outcomes as in the actual operation of current Calibration Process. Therefore, the hybrid temperature recorder monitoring system can perform the operation accurately and can be deployed into the actual Process in the future.
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A development of hybrid temperature recorder monitoring system
ICCAS 2010, 2010Co-Authors: Keelati Oonchom, Benjaporn Arnuttinanon, Olarn WongwiratAbstract:Currently, the HDDs (Hard Disk Drives) from a production line have to pass an operation test in a burn-in chamber. To ensure quality, after an operation period, the burn-in chamber has to be calibrated. The Calibration Process requires an engineer to manually monitor a temperature at the hybrid temperature recorder connected to the burn-in chamber throughout the entire Process. It is a time consuming operation and inefficient Process due to a large number of burn-in chambers used in the production line, when comparing with a limited number of engineers. This paper expresses a development of hybrid temperature recorder monitoring system used to improve such the Calibration Process. There are two main systems involved, i.e., a temperature recording system and a monitoring system. However, the monitoring system is mainly focused in this paper. Also, an object-oriented analysis and design methodology (OOADM) is applied in the development Process. The monitoring system interconnects the hybrid temperature recorder through a wireless network to receive the temperatures captured from sensors inside the burn-in chamber. Then, the temperature data is Processed and displayed at the central server of system in the engineering office. This could allow the engineer to centrally monitor all hybrid temperature recorders used in the Calibration Process of burn-in chamber in real-time. The monitoring system can display the alarm signal when the errors occur during the Calibration Process and sent it to the engineer for alerting as well. Furthermore, the temperature data can be stored in a database at the central server for future reference.