The Reliability of Gas Turbine Powered Compressor Units

1979 ◽  
Vol 101 (1) ◽  
pp. 73-78
Author(s):  
R. A. Harrison ◽  
P. F. Weatherilt

This paper describes British Gas Corporation (BGC) experience of the operating reliability of aircraft gas turbine powered compressor units utilized in the gas transmission system. The complex nature of the system has led to the design of computer based simulation models to identify the relationship between operating reliability and spare unit provisioning. The need to achieve particular reliability levels has led to the specification in contracts of quantified reliability criteria which are both measurable and achievable. There seems a clear need for national or international standards for reliability specification. BGC is introducing operational and defect data collection systems to identify areas of weakness in current plant and to provide a feedback to the manufacturer.

2020 ◽  
Vol 13 (2) ◽  
pp. 84-90
Author(s):  
E. P. Grabchak ◽  
E. L. Loginov ◽  
V. U. Chinaliev

The development and implementation of a strategy for organizational reconfiguration of a digital heat and power super system to streamline the processes of providing structured technological zones with heat makes the basis for creating a coordinated system for optimizing the tariff and price load on heat and electricity consumers in the Russian economy. Providing the industry with a mechanism for regulating the processes of rendering heat energy services based on the transition to the system of Unified Heat-Supply Organizations (ETOs) and ensuring a return on price trend investment in the heat market with the possibility of transferring departmental reporting and analytics to a single regulatory legal basis enables regulating the operation of the power system as a subsystem of the Russian energy sector with a common information technology platform. It is proposed to develop a methodology for constructing mathematical estimates of reliability indicators of provided heat and power services in the form of analytical relationships and simulation models, taking into account the complex nature of the operation of electric power transmission and heat transportation networks as well as information systems that provide processing, storage and distribution of digital data and documents. The key activities are: development of a methodology for constructing mathematical estimates of reliability indicators of provided heat and power services in the form of analytical relationships and simulation models; development of digital methods for detecting hazardous effects; development of algorithms for storing information in the presence of natural and artificial interference; development of digital methods for optimization, modernization and transformation of production chains and processes, control models and planning procedures to neutralize threats to the reliability of provided heat and power services. The result should be the creation of a computer-based information system for modeling impacts on the electric and heat grid facilities.


2019 ◽  
Vol 31 (3) ◽  
pp. 294-318 ◽  
Author(s):  
Mark Rodgers ◽  
Rosa Oppenheim

Purpose In continuous improvement (CI) projects, cause-and-effect diagrams are used to qualitatively express the relationship between a given problem and its root causes. However, when data collection activities are limited, and advanced statistical analyses are not possible, practitioners need to understand causal relationships. The paper aims to discuss these issues. Design/methodology/approach In this research, the authors present a framework that combines cause-and-effect diagrams with Bayesian belief networks (BBNs) to estimate causal relationships in instances where formal data collection/analysis activities are too costly or impractical. Specifically, the authors use cause-and-effect diagrams to create causal networks, and leverage elicitation methods to estimate the likelihood of risk scenarios by means of computer-based simulation. Findings This framework enables CI practitioners to leverage qualitative data and expertise to conduct in-depth statistical analysis in the event that data collection activities cannot be fully executed. Furthermore, this allows CI practitioners to identify critical root causes of a given problem under investigation before generating solutions. Originality/value This is the first framework that translates qualitative insights from a cause-and-effect diagram into a closed-form relationship between inputs and outputs by means of BBN models, simulation and regression.


1998 ◽  
Author(s):  
J. L. Mitchell ◽  
Winston Bennett ◽  
J. J. Weissmuller ◽  
R. L. Gosc ◽  
Patricia Waldroop ◽  
...  

2020 ◽  
Vol 3 (1) ◽  
pp. 11-20
Author(s):  
Siska Oktavia ◽  
Wahyu Adi ◽  
Aditya Pamungkas

This study aims to analyze the value of the density of marine debris, perceptions and participation in Temberan beach and Pasir Padi beach, as well as determine the relationship of perception and participation to the density of marine debris. This research is a type of research that is descriptive with a mixed approach (quantitative and qualitative). The study was conducted at Temberan beach in Bangka Regency and Pasir Pasir Beach Pangkal Pinang in October 2019. The sampling technique used was random sampling and purposive sampling. The data collection technique was carried out using observation technique namely sampling and questionnaire. The validity test uses the Pearson Product Moment formula and the reliability test uses the Cronbach’s Alpha formula. The results showed that the density of debris in the Temberan beach was more dominant at 10.92 pieces/meter2, while at Temberan beach 3 pieces/meter2. The results of perception and participation are different, with the Temberan beach occupying more complex waste problems. The relationship of perception and participation in the density of marine debris have a relationship that affects each other.


Author(s):  
Resdianto Permata Raharjo ◽  
Ahmad Sudali

This journal explains the results of cohesion and coherence analysis in the current new news discourse in Indonesia published by Republika, Thursday 16 May 2019. The research uses descriptive methods by describing and explaining the results of the analysis found in the study. This research is a type of qualitative research because the results tend to be released and descriptive. the technique used in this study is to take data, data collection is done in two ways, namely listening and taking notes. This study found the results of the use of cohesion and and the use of coherence. Cohesion is the integration between the parts that are characterized by the use of language elements. Cohesion is divided into two parts, lexical cohesion and grammatical cohesion. Grammatical cohesion includes conjunction, reference, release, substitution. Lexical cohesion includes antonyms, synonyms, repetitions, metonymy, and hypomini. Whereas, cohorence is the relationship between elements one with the other elements so that it has an integrated meaning.  


2020 ◽  
Vol 4 (02) ◽  
Author(s):  
Shofia Zulfa Amalina ◽  
Sri Hartono ◽  
Ratna Damayanti

The purpose of this study was to analyze the effect of whether or not the quality of service, store atmosphere and promotion of consumer satisfaction at Pondok Jowi Restaurant Solo. The population in this study were consumers of Pondok Jowi Solo Restaurant in January 2020 at May 2020 with a total of 14,030 people. The sampling techniquemismpurposive samplingm which is a sampling technique with certain considerations by taking 100 respondents. Data collection uses a Likert scale questionnaire to measure respondents' answers to identify the relationship between service quality, store atmosphere and promotion of customer satisfaction. The results show that service quality, store atmosphere and promotion have a simultaneous and significant effect on customer satisfaction, servicei quality has assignificant effect on customer satisfaction, store atmosphere has a significant effect on customer satisfaction, and promotion has significant effect on customer satisfaction. Keywords: Service quality, Store atmosphere, Promotion, Consumer satisfaction


2020 ◽  
Author(s):  
Amy K. Clark ◽  
Meagan Karvonen

Alternate assessments based on alternate achievement standards (AA-AAS) have historically lacked broad validity evidence and an overall evaluation of the extent to which evidence supports intended uses of results. An expanding body of validation literature, the funding of two AA-AAS consortia, and advances in computer-based assessment have supported improvements in AA-AAS validation. This paper describes the validation approach used with the Dynamic Learning Maps® alternate assessment system, including development of the theory of action, claims, and interpretive argument; examples of evidence collected; and evaluation of the evidence in light of the maturity of the assessment system. We focus especially on claims and sources of evidence unique to AA-AAS and especially the Dynamic Learning Maps system design. We synthesize the evidence to evaluate the degree to which it supports the intended uses of assessment results for the targeted population. Considerations are presented for subsequent data collection efforts.


IdeBahasa ◽  
2020 ◽  
Vol 2 (2) ◽  
pp. 121-132
Author(s):  
Shifa Nur Zakiyah ◽  
Susi Machdalena ◽  
Tb. Ace Fachrullah

This article discussed the phonemic correspondence in Sundanese and Javanese using a historical comparative linguistic approach. The problem to be examined in this study is the form of phonemic correspondence in Sundanese and Javanese. The purpose of this study was to determine the phonemic correspondence sets in the comparison between Sundanese and Javanese. The method used in this research to analyze the data is the phonemic correspondence method. The correspondence method is used to find the relationship between languages ​​in the field of language sounds (phonology). Phonemic correspondence is used to determine regular phonemic changes in the languages ​​being compared. Data collection used interview techniques, note techniques and recording techniques. After the data is collected, then the data is classified according to the problem being studied and grouped into more specifics. After that, conclusions will be made based on the results of the data analysis. The data source obtained comes from 200 swadesh vocabularies in Sundanese and Javanese. From 200 swadesh vocabulary data found 49 data included in phonemic correspondence which is divided into 12 correspondence sets. The results of this study include the formation of correspondences in Sundanese and Javanese, namely, (ɛ ~ i) and (i ~ ɛ), (a ~ ɔ) and (ɔ ~ a), (d ~ D), (t ~ T) , (ɤ ~ ə), (b ~ w), (ɔ ~ u) and (ɔ ~ U), (i ~ I), (ø ~ h) and (h ~ ø), (ø ~ m), and (a ~ ə).


Author(s):  
Gangaram Biswakarma

This study focuses on measuring tourist satisfaction towards home stay. This paper emphasized to identify the variables that are related to tourist satisfaction during tourist homestay. It is also focused on analyzing the relationship and impact of these latent construct of factors to overall tourist satisfaction towards home stay. In an attempt to visualize the purpose, tourists satisfaction in a homestay in Nepal has taken into as a case, with an aim to identify the underlying dimensions of tourist satisfaction during tourist homestay. Twenty six (26) manifest variables of homestay has been formulated to understand the dimensions. Likewise, for a conforming the latent construct (1) statement as dependent variable of overall satisfaction was developed for the purpose of the primary data collection. The manifest variables are basically focused on aspects of home stay attributes namely cultural attraction, hospitality, amenities and safety & security at the home stay destination. Post Exploratory Factor Analysis indicates factor loading for twenty two (22) items manifest variables as significant, loaded with five (5) factors of home stay attributes named as Amenities & Safety, Reception, Local Cuisine & Accommodation, Local Life style & Costumes, and Cultural Performance. This study contributes to the development of survey instrument for exploring tourist satisfaction for Home stay for future researchers.


2020 ◽  
Vol 10 (14) ◽  
pp. 4761
Author(s):  
Milorad Papic ◽  
Svetlana Ekisheva ◽  
Eduardo Cotilla-Sanchez

Modern risk analysis studies of the power system increasingly rely on big datasets, either synthesized, simulated, or real utility data. Particularly in the transmission system, outage events have a strong influence on the reliability, resilience, and security of the overall energy delivery infrastructure. In this paper we analyze historical outage data for transmission system components and discuss the implications of nearby overlapping outages with respect to resilience of the power system. We carry out a risk-based assessment using North American Electric Reliability Corporation (NERC) Transmission Availability Data System (TADS) for the North American bulk power system (BPS). We found that the quantification of nearby unscheduled outage clusters would improve the response times for operators to readjust the system and provide better resilience still under the standard definition of N-1 security. Finally, we propose future steps to investigate the relationship between clusters of outages and their electrical proximity, in order to improve operator actions in the operation horizon.


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