Gas Analysis

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The Experts below are selected from a list of 297 Experts worldwide ranked by ideXlab platform

Stefano Materazzi - One of the best experts on this subject based on the ideXlab platform.

  • FTIR-evolved Gas Analysis in recent thermoanalytical investigations
    Applied Spectroscopy Reviews, 2020
    Co-Authors: Roberta Risoluti, Maria Aurora Fabiano, Giuseppina Gullifa, Stefano Vecchio Ciprioti, Stefano Materazzi
    Abstract:

    ABSTRACTSeveral analytical instruments (like pyrolyzers, thermobalances, differential thermal analyzers, or calorimeters, and sometimes simply temperature-controlled reactors) can be on-line coupled to infrared spectrometers to perform evolved Gas Analysis (EGA). Advances in EGA techniques are currently proposed by the scientific literature because the possibility to on-line detect the nature of the released Gases or vapors has become fundamental to proving a supposed reaction, either under isothermal or under heating conditions. In this review, recent analytical applications of evolved Gas Analysis performed by infrared spectroscopy (EGA-IR), selected among those published in the years 2013 to 2015, are collected.

  • Mass spectrometry for evolved Gas Analysis: An update
    Applied Spectroscopy Reviews, 2018
    Co-Authors: Roberta Risoluti, Stefano Materazzi
    Abstract:

    ABSTRACTAdvances in evolved Gas Analysis (EGA) techniques are periodically reported by our group to provide useful examples of their applications in many different fields. It is actually recognized...

  • Evolved Gas Analysis by Infrared Spectroscopy
    Applied Spectroscopy Reviews, 2010
    Co-Authors: Stefano Materazzi, Stefano Vecchio
    Abstract:

    Abstract The analytical applications of the evolved Gas Analysis (EGA) performed by infrared spectroscopy, for the period extending from 2005 to 2009, are collected in this review. By this technique, the nature of volatile products released by a substance subjected to a controlled temperature program are on-line determined, with the possibility to prove a supposed reaction, either under isothermal or under heating conditions.

R. Scott Rushing - One of the best experts on this subject based on the ideXlab platform.

  • UMBILICAL CORD BLOOD Gas Analysis
    Obstetrics and Gynecology Clinics of North America, 1999
    Co-Authors: James A. Thorp, R. Scott Rushing
    Abstract:

    During the past decade, umbilical cord blood Gas Analysis has increasingly been recognized as the most reliable indication of fetal oxygenation and acid-base condition at birth. The diagnosis of intrapartum asphyxia mandates the presence of severe cord blood acidemia, and normal values refute this diagnosis. This article reviews the issues surrounding the use of umbilical cord blood Gas Analysis, including pertinent acid-base physiology, techniques, normal values, perinatal factors affecting the values, and controversies surrounding universal and selective sampling strategies.

Zhanyu Wu - One of the best experts on this subject based on the ideXlab platform.

  • Fault Diagnosis of Power Transformers Based on Comprehensive Machine Learning of Dissolved Gas Analysis
    2019 IEEE 20th International Conference on Dielectric Liquids (ICDL), 2019
    Co-Authors: Ming Dong, Zhanyu Wu
    Abstract:

    Currently, the commonly used fault diagnosis methods of power transformers are often difficult to deal with the ambiguity problems encountered in the troubleshooting process. Even with some artificial intelligent techniques already experimented, the results have not been not systematic compared and are far from real application. Therefore, this paper tries to make a thorough use of machine learning tools towards result data from dissolved Gas Analysis. This paper establishes a machine learning model based on dissolved Gas Analysis for internal fault diagnosis of power transformers, and makes a comparison between multiple machine learning methods. Firstly, an overall neural network model of transformer diagnosis based on the dissolved Gas Analysis is formed. Next, the performance of optimized BP neural network, probabilistic neural network (PNN), and decision tree algorithm is compared from the aspects of speed and accuracy. Furthermore, the case-based reasoning method based on the Euclidean distance and normalized energy intensity algorithm is employed to get the closest matching similar case to realize the transformer defect prediction and assistant decision-making. With actual examples verified, the case-based reasoning method can help detect the most likely abnormal causes of faulty transformers through providing the most similar matching case.

Roberta Risoluti - One of the best experts on this subject based on the ideXlab platform.

  • FTIR-evolved Gas Analysis in recent thermoanalytical investigations
    Applied Spectroscopy Reviews, 2020
    Co-Authors: Roberta Risoluti, Maria Aurora Fabiano, Giuseppina Gullifa, Stefano Vecchio Ciprioti, Stefano Materazzi
    Abstract:

    ABSTRACTSeveral analytical instruments (like pyrolyzers, thermobalances, differential thermal analyzers, or calorimeters, and sometimes simply temperature-controlled reactors) can be on-line coupled to infrared spectrometers to perform evolved Gas Analysis (EGA). Advances in EGA techniques are currently proposed by the scientific literature because the possibility to on-line detect the nature of the released Gases or vapors has become fundamental to proving a supposed reaction, either under isothermal or under heating conditions. In this review, recent analytical applications of evolved Gas Analysis performed by infrared spectroscopy (EGA-IR), selected among those published in the years 2013 to 2015, are collected.

  • Mass spectrometry for evolved Gas Analysis: An update
    Applied Spectroscopy Reviews, 2018
    Co-Authors: Roberta Risoluti, Stefano Materazzi
    Abstract:

    ABSTRACTAdvances in evolved Gas Analysis (EGA) techniques are periodically reported by our group to provide useful examples of their applications in many different fields. It is actually recognized...

Chunyuan Huang - One of the best experts on this subject based on the ideXlab platform.

  • an expert system for transformer fault diagnosis using dissolved Gas Analysis
    IEEE Transactions on Power Delivery, 1993
    Co-Authors: Jeeng Min Ling, Chunyuan Huang
    Abstract:

    A prototype expert system based on the dissolved Gas Analysis (DGA) technique for diagnosis of suspected transformer faults and their maintenance actions is developed. A synthetic method is proposed to assist the Gas ratio method. The uncertainties of key Gas Analysis, norms threshold, and Gas ratio boundaries, are managed by using a fuzzy set concept. The expert system is implemented on a PC-AT using KES with rule-based knowledge representation. The system has been tested to show its effectiveness in transformer diagnosis. >