Five years experience with a new method of field testing cross and quadrature polarized mho distance relays. II. Three case studies

1988 ◽  
Vol 3 (3) ◽  
pp. 887-893 ◽  
Author(s):  
W.O. Kennedy ◽  
B.J. Gruell ◽  
C.H. Shih ◽  
L. Yee
2013 ◽  
Vol 652-654 ◽  
pp. 2153-2158
Author(s):  
Wu Ji Jiang ◽  
Jing Wei

Controlling the tooth errors induced by the variation of diameter of grinding wheel is the key problem in the process of ZC1 worm grinding. In this paper, the influence of tooth errors by d1, m and z1 as the grinding wheel diameter changes are analyzed based on the mathematical model of the grinding process. A new mathematical model and truing principle for the grinding wheel of ZC1 worm is presented. The shape grinding wheel truing of ZC1 worm is carried out according to the model. The validity and feasibility of the mathematical model is proved by case studies. The mathematical model presented in this paper provides a new method for reducing the tooth errors of ZC1 worm and it can meet the high-performance and high-precision requirements of ZC1 worm grinding.


Author(s):  
Sathya Prasad Mangalaramanan

Abstract An accompanying paper provides the theoretical underpinnings of a new method to determine statically admissible stress distributions in a structure, called Bounded elastic moduli multiplier technique (BEMMT). It has been shown that, for textbook cases such as thick cylinder, beam, etc., the proposed method offers statically admissible stress distributions better than the power law and closer to elastic-plastic solutions. This paper offers several examples to demonstrate the robustness of this method. Upper and lower bound limit loads are calculated using iterative elastic analyses using both power law and BEMMT. These results are compared with the ones obtained from elastic-plastic FEA. Consistently BEMMT has outperformed power law when it comes to estimating lower bound limit loads.


Water ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2827
Author(s):  
Andrea Nardini ◽  
Santiago Yépez ◽  
Bruno Mazzorana ◽  
Héctor Ulloa ◽  
María Dolores Bejarano ◽  
...  

This paper proposes a systematic procedure to identify river reaches from a geomorphic point of view. Their identification traditionally relies on a subjective synthesis of multi-dimensional information (e.g., changes of slope, changes of width of valley bottom). We point out that some of the attributes adopted to describe geomorphic characters of a river (in particular sinuosity and confinement) depend on the length of reaches, while these latter are not yet identified; this is a source of ambiguity and introduces, at least conceptually, an unpleasant, implicit, iterative procedure. We introduce a new method which avoids this difficulty. Furthermore, it is simple, objective, and explicitly defined, and as such, it is automatable. The method requires to define and determine a set of intensive attributes, i.e., attributes that are independent of the segment length. The reaches are then identified by the intersection of the segmentations induced by such attributes. We applied the proposed procedure in two case studies, the Magdalena River (Colombia) and the Baker River (Chile), and investigated whether the adoption of the traditional approach for the definition of reaches would lead to a different result. We conclude that there would be no detectable differences. As such, the method can be considered an improvement in geomorphic river characterization.


1998 ◽  
Vol 38 (3) ◽  
pp. 61-69 ◽  
Author(s):  
Franz-Bernd Frechen ◽  
Wulf Köster

Odorous emissions from sewer systems and wastewater treatment plants can cause serious annoyance in the vicinity. Odorants which are present in a liquid phase are emitted into ambient air at the liquid-gaseous interface. The amount and the variation of emitted mass flow of odorants is significantly influenced by the amount of odorants which are present in the liquid. Up to now, however, no measurement method was available to describe this parameter, which can be called “Odorants Emission Capacity”. The paper describes a standardized method of determining the “Odorants Emission Capacity” and shows results and consequences from several case studies where this new method was applied.


2014 ◽  
Vol 43 (2) ◽  
pp. 20140083 ◽  
Author(s):  
Kaoshan Dai ◽  
Xuehang Song ◽  
Xiaofeng Li ◽  
Zhenhua Huang ◽  
Yongdong Pan

1999 ◽  
Vol 121 (3) ◽  
pp. 172-175 ◽  
Author(s):  
J. J. S. Shen

A new method of measuring the steam quality based on ultrasound is presented in this paper. This method is based on rigorous consideration of the steam’s thermodynamic properties. It is shown in the paper that the steam’s speed of sound depends on its quality at a given saturation temperature. Thus, the quality of the wet steam can be determined if its speed of sound is known. The speed of sound of a flowing fluid can be measured using transit-time ultrasonic meters. Field testing of a pair of customdesigned ultrasonic transducers has shown that it is feasible to measure the steam’s speed of sound. An uncertainty analysis of this new method is also presented in the paper. The analysis suggests that this method is capable of achieving a measurement accuracy of better than ±3 percentage points of the steam quality under typical oil field steam injection conditions.


Author(s):  
Jae Hong Lee ◽  
Tong Seop Kim ◽  
Do Won Kang ◽  
Jeong Lak Sohn ◽  
Jung Ho Lee

Abstract Gas turbines are most widely used for power generation and operate under various conditions and loads. Gas turbine control is important to cope with various situations, and the turbine inlet temperature (TIT) is the most important parameter because it is directly related to the power output and life cycle of the turbine. Thus, precise prediction and control of the TIT are important in terms of the stable operation and life cycle management of gas turbines. This paper proposes a new method to predict non-measured parameters such as the air flow and TIT using Kalman filter techniques. The Kalman filter is widely used for estimating the instantaneous state of a system and can estimate non-measured parameters. The Kalman filter algorithm was implemented in a gas turbine analysis program using MATLAB. The reliability of the new method was verified through various case studies using virtual data and real operating data. The results were compared with those of a model-based gas turbine diagnostics program. The computing time of the Kalman filter and model-based diagnostics program were also compared to confirm the capability of the new method. The results indicate that the new method is more suitable for diagnostics and monitoring applications than the model-based analysis program. Finally, two case studies were performed to confirm the feasibility of the new method using two virtual datasets. The results confirm that the Kalman filter can predict the non-measured parameters precisely.


Author(s):  
Alexandra Millonig ◽  
Markus Ray ◽  
Helmut Schrom-Feiertag

Mobility and orientation behaviour research often requires the monitoring of pedestrian spatio-temporal behaviour. A number of different empirical methods have been developed to investigate specific aspects of pedestrian behaviour. However, each method has certain drawbacks, which aggravate the collection and analysis of relevant data. This chapter describes a new method which combines the advantages of simple observation and technological data collection. Pedestrian trajectories are collected by observing and annotating spatio-temporal tracks using a semi-automated shadowing tool. In this chapter, the authors describe the background and related work in pedestrian spatio-temporal behaviour research as well as most commonly applied methods and their respective advantages and drawbacks. The authors then present a shadowing approach with specific characteristics and implementation. Additionally, three case studies are described to illustrate potential fields of application. Finally, ongoing efforts to enhance the method through the use of additional sensors and features, as well as potential future developments, are described.


Sign in / Sign up

Export Citation Format

Share Document