scholarly journals Reliability Analysis of Diesel Engine at LNG Plant using Counting Process

2019 ◽  
Vol 1 (2) ◽  
Author(s):  
Seno Darmanto ◽  
Ireng Sigit Atmanto ◽  
Bagus Hendra Permana
Keyword(s):  
Mathematical Modeling ◽  
Mathematical Model ◽  
Diesel Engine ◽  
Failure Rate ◽  
Diesel Engines ◽  
Goodness Of Fit ◽  
Counting Process ◽  
Test Method ◽  
Goodness Of Fit Test ◽  
Parametric Failure

The purpose of this research is to analyze the reliability of diesel engine as driver for fire water pump. To determine the reliability level of the diesel engine, this research will apply counting process so that the rate of failure of the diesel engine can be known. The data used as basis for calculation is failure data gained from maintenance work order databases from 2012 to 2017. The data obtained will be processed using counting process method to produce mathematical modeling to predict the amount of failure to diesel engines in the future. From 4 diesel engines, only 3 parametric failure rate (l) that could be generated,  for 33-GE-5A,  for 33-GE-5B, and  for 33-GE-5C, since 33-GE-5D was severely damaged in September 2015.   The mathematical modeling will be verified using the Pearson's Chi-squared Test method to ensure the validity of the mathematical model can be guaranteed. The result of the goodness of fit test shows that only parametric failure rate (l) for 33-GE-5B and 33-GE-5C that could be accepted. The outcome mathematical model will be used to predict future behavior and failure of the unit so effective and efficient maintenance strategy for 33-GE-5B and 33-GE-5C could be applied

Statistical characteristics for the defect occurrence of raw silk

2019 ◽  
Vol 90 (3-4) ◽  
pp. 302-312
Author(s):  
Jian-mei Xu ◽  
Ying Zhou ◽  
Jiantao Niu ◽  
Dongping Wu ◽  
Lun Bai
Keyword(s):  
Goodness Of Fit ◽  
Probability Distributions ◽  
Capacitive Sensor ◽  
Test Method ◽  
International Organization ◽  
Statistical Characteristics ◽  
Goodness Of Fit Test ◽  
Polya Distribution ◽  
Silk Filament ◽  
Better Than

In order to consider different defects that occur during the computer simulation of raw silk size series, it is necessary to find out the statistical characteristics for the defect occurrence of raw silk. Under the newest International Organization for Standardization standard for electronic testing of raw silk, the defects are classified into small slubs, big slubs, thick places, thin places, and small imperfection elements. By analyzing some probability distributions that happen during the silk reeling process and the formation of the defects, the study proposed that Pólya distribution may fit better than Poisson distribution in describing the number of defects formed in a certain length of silk filament. To verify this theoretical deduction experimentally, the defects for 15 lots of raw silk were tested every 1000 meters using an electronic tester for raw silk; each time 12 skeins were tested together and each test was repeated from 13 to 17 times. A goodness-of-fit test method for Poisson and Pólya distributions was deduced, which was used to analyze the statistical characteristics for the defects except for small imperfection elements. The results showed that when using the capacitive sensor, the defects of big slubs, small slubs, and thick places had a Pólya distribution with a weak spreading characteristic; the thin places were a combination of independent Pólya distributions, and each subclass of thin places took Pólya distribution; when using the optical sensor, all the defects had a Pólya distribution, which was in line with the theoretical deduction.

Research on Storage Life of Electronic Equipment Based on Goodness of Fit Test Method

2012 ◽  
Vol 605-607 ◽  
pp. 85-87
Author(s):  
Jun Sheng Wang ◽  
Jin Huang Wu ◽  
Yi Dong Wang ◽  
Jun Wei Lei
Keyword(s):  
Goodness Of Fit ◽  
Electronic Devices ◽  
Test Methods ◽  
Storage Life ◽  
Test Method ◽  
Simple Analysis ◽  
Goodness Of Fit Test ◽  
Common Distribution ◽  
Pearson Test ◽  
Using Data

The test of distribution is to infer that whether the life of produce can satisfy the distribution chosen by a simple analysis of the test data or the alive using data . Based on the principle of fit goodness test and the Pearson test method , which is one of a common distribution test methods, a kind of special F test method is researched for the situation that the product life obeys to exponential distribution. With that method, the distribution of the storage life of electronic devices is researched.

A New Goodness-of-Fit Test for Grouped Data

2012 ◽  
Vol 569 ◽  
pp. 455-460
Author(s):  
Jin Qin ◽  
Jun Yang
Keyword(s):  
Goodness Of Fit ◽  
Test Method ◽  
Ratio Method ◽  
Grouped Data ◽  
Survival Ratio ◽  
Goodness Of Fit Test ◽  
Goodness Of Fit Tests ◽  
Kolmogorov Smirnov ◽  
Distribution Type ◽  
Smirnov Test

In data analysis of reliability, the traditional goodness-of-fit test is not applicable for grouped data under some circumstances. In this paper, a Kolmogorov-Smirnov test based on survival ratio method is proposed to determine the distribution type of grouped data. The power of the proposed test and other well-known goodness-of-fit tests are compared by Monte Carlo simulation, and the results show that the proposed test method is more powerful.

Study on the Prior Information Credibility Test in Low-Voltage Switchgear Reliability Assessment

2014 ◽  
Vol 704 ◽  
pp. 180-185
Author(s):  
Shu Yu Xu ◽  
Jing Qin Wang
Keyword(s):  
Goodness Of Fit ◽  
Prior Information ◽  
Failure Modes ◽  
Low Voltage ◽  
High Reliability ◽  
Reliability Assessment ◽  
Test Method ◽  
Goodness Of Fit Test ◽  
Compatibility Test ◽  
Bayes Theory

Reliability Assessment of low-voltage switchgear is of great significance to the safety of power system and its equipment. In this thesis, Bayes theory is introduced into the reliability Assessment of low-voltage switchgear. The main failure modes and failure rate of low-voltage switchgear has been summarized, and the fault arrangement diagram of low voltage switchgear is given in this paper. In view of the low-voltage switchgear with high reliability and relatively large number of samples, a feasible compatibility test method is proposed. Firstly, the distribution type can be tested through engineering experience and Goodness of fit test for weibull distribution. Then a prior information compatibility test is carried out by Wilcoxon rank sum test and Kolmogorov-Smirnov nonparametric test method. Finally, the prior information which is incompatible with credible site information is removed and reliable prior information is obtained. This paper lays a solid foundation for the Low-voltage switchgear reliability assessment based on Bayes theory.

scholarly journals Performance and Emission Modelling and Simulation of Marine Diesel Engines using Publicly Available Engine Data

2021 ◽  
Vol 28 (4) ◽  
pp. 63-87
Author(s):  
Mohammad Hossein Ghaemi
Keyword(s):  
Mathematical Model ◽  
Diesel Engine ◽  
Simulation Model ◽  
Diesel Engines ◽  
Model Parameters ◽  
Marine Diesel Engine ◽  
Simple Method ◽  
Wide Range ◽  
Constant Pitch ◽  
Marine Diesel

Abstract To analyse the behaviour of marine diesel engines in unsteady states for different purposes, for example to determine the fuel consumption or emissions level, to adjust the control strategy, to manage the maintenance, etc., a goal-based mathematical model that can be easily implemented for simulation is necessary. Such a model usually requires a wide range of operating data, measured on a test stand. This is a time-consuming process with high costs and the relevant data are not available publicly for a selected engine. The present paper delivers a rapid and relatively simple method for preparing a simulation model of a given marine diesel engine, based only on the widely available data in the project guides indicated for steady state conditions. After establishing the framework of the mathematical model, it describes how the parameters of the model can be adjusted for the simulation model and how the results can be verified as well. Conceptually, this is a trial and error method, but the presented case example makes clear how the parameters can be selected to reduce the number of trials and quickly determine the model parameters. The necessary descriptions are given through a case study, which is the MAN-B&W 8S65ME-C8 marine diesel engine. The engine is assumed to be connected to a constant pitch propeller. The presented mathematical model is a mean-value zero-dimensional type with seven state variables. The other variables of the engine are determined based on the state independent variables and the input value, which is the fuel rate. The paper can be used as a guideline to prepare a convenient mathematical model for simulation, with the minimum publicly available data.

scholarly journals Component Analysis of Purification System of RSG-GAS

2018 ◽  
Vol 20 (1) ◽  
pp. 31
Author(s):  
Mike Susmikanti ◽  
Entin Hartini ◽  
Aep Saepudin ◽  
Jos Budi Sulistyo
Keyword(s):  
Exponential Distribution ◽  
Goodness Of Fit ◽  
Data Distribution ◽  
Component Analysis ◽  
Spare Parts ◽  
Test Method ◽  
Layer System ◽  
Goodness Of Fit Test ◽  
Matching Test ◽  
Purification System

COMPONENT ANALYSIS OF PURIFICATION SYSTEM OF RSG-GAS. Component reliability analysis is required in the aging management of RSG-GAS that has reached an age of 30 years. One of the required analyses is the assessment of the distribution of repair data and the estimation of related parameters. The Primary Purification System (KBE01) and the Purification and Warm Water Layer System (KBE02) are important components of RSG-GAS. By knowing the repair data distribution, the parameters of the most frequently occurring component repair and the average of the repair period can be estimated, so that the required provision of spare parts for the smooth operation of the reactor can be predicted. The purpose of this study is to analyze the components of the KBE01 and KBE02 systems through the data distribution approach using the matching test method. With the matching test, the form of data distribution can be determined, so the parameter of the average component repair period that can be used as a comparison of the maintenance period of the components can be estimated. The repair times of KBE01 and KBE02 in RSG-GAS on Core 52 through Core 88 (2006-2015) were analyzed using goodness-of-fit test. The repair times of AA068 and AP001 KBE01 follow the exponential distribution with average repair times of 631.6 and 451.2 days, respectively. The repair times of WWL and AA002 KBE02 followed an exponential distribution with average repair times of 239.5 days and 888.0 days.

scholarly journals MATHEMATICAL MODEL OF COMBINED PARAMETRICAL ANALYSIS OF IN INDICATOR PROCESS AND THERMAL LOADING ON THE DIESEL ENGINE PISTON

Transport ◽  
2004 ◽  
Vol 19 (3) ◽  
pp. 108-118 ◽  
Author(s):  
Sergejus Lebedevas ◽  
Galina Lebedeva
Keyword(s):  
Mathematical Model ◽  
Diesel Engine ◽  
Diesel Engines ◽  
Thermodynamic Model ◽  
Thermal Loading ◽  
Design Work ◽  
Engine Piston ◽  
Engine Cycle

In the publication the methodical aspects of a mathematical model of the combined parametrical analysis of an indicator process and thermal loading on the diesel engine piston have been considered. A thermodynamic model of a diesel engine cycle is developed. The executed development is intended for use during researches and on the initial stages of design work. Its realization for high revolution diesel engines of perspective type CHN15/15 allowed to choose rational variants for the organization of an indicator process and to prove power ranges of application for not cooled and created cooled oil welded pistons.

RESEARCH OF INDICATORS OF A VEHICLE WITH A DIESEL WORKING ON DIESEL AND DIESEL GAS CYCLES USING THE MATHEMATICAL MODEL

2020 ◽  
pp. 14-19
Author(s):  
Serhii Kovbasenko ◽  
Andriy Holyk ◽  
Serhii Hutarevych
Keyword(s):  
Mathematical Model ◽  
Diesel Engine ◽  
Environmental Performance ◽  
Energy Performance ◽  
Dual Fuel ◽  
Fuel System ◽  
Compressed Natural Gas ◽  
Diesel Vehicles ◽  
Diesel Cycle ◽  
The Mathematical Model

The features of an advanced mathematical model of motion of a truck with a diesel engine operating on the diesel and diesel gas cycles are presented in the article. As a result of calculations using the mathematical model, a decrease in total mass emissions as a result of carbon monoxide emissions is observed due to a decrease in emissions of nitrogen oxides and emissions of soot in the diesel gas cycle compared to the diesel cycle. The mathematical model of a motion of a truck on a city driving cycle according to GOST 20306-90 allows to study the fuel-economic, environmental and energy indicators of a diesel and diesel gas vehicle. The results of the calculations on the mathematical model will make it possible to conclude on the feasibility of converting diesel vehicles to using compressed natural gas. Object of the study – the fuel-economic, environmental and energy performance diesel engine that runs on dual fuel system using CNG. Purpose of the study – study of changes in fuel, economic, environmental and energy performance of vehicles with diesel engines operating on diesel and diesel gas cycles, according to urban driving cycle modes. Method of the study – calculations on a mathematical model and comparison of results with road tests. Bench and road tests, results of calculations on the mathematical model of motion of a truck with diesel, working on diesel and diesel gas cycles, show the improvement of environmental performance of diesel vehicles during the converting to compressed natural gas in operation. Improvement of environmental performance is obtained mainly through the reduction of soot emissions and nitrogen oxides emissions from diesel gas cycle operations compared to diesel cycle operations. The results of the article can be used to further develop dual fuel system using CNG. Keywords: diesel engine, diesel gas engine, CNG

Application of the method of mathematical modeling for forecasting channel deformations at the underwater crossing of the main pipeline

2020 ◽  
Vol 10 (6) ◽  
pp. 599-609
Author(s):  
Valery А. Gruzdev ◽  
◽  
Georgy V. Mosolov ◽  
Ekaterina A. Sabayda ◽  
◽  
...  
Keyword(s):  
Mathematical Modeling ◽  
Mathematical Model ◽  
Roughness Coefficient ◽  
Computational Domain ◽  
Channel Deformations ◽  
Geological Surveys ◽  
Kuban River ◽  
The Stability ◽  
Protective Structures

In order to determine the possibility of using the method of mathematical modeling for making long-term forecasts of channel deformations of trunk line underwater crossing (TLUC) through water obstacles, a methodology for performing and analyzing the results of mathematical modeling of channel deformations in the TLUC zone across the Kuban River is considered. Within the framework of the work, the following tasks were solved: 1) the format and composition of the initial data necessary for mathematical modeling were determined; 2) the procedure for assigning the boundaries of the computational domain of the model was considered, the computational domain was broken down into the computational grid, the zoning of the computational domain was performed by the value of the roughness coefficient; 3) the analysis of the results of modeling the water flow was carried out without taking the bottom deformations into account, as well as modeling the bottom deformations, the specifics of the verification and calibration calculations were determined to build a reliable mathematical model; 4) considered the possibility of using the method of mathematical modeling to check the stability of the bottom in the area of TLUC in the presence of man-made dumping or protective structure. It has been established that modeling the flow hydraulics and structure of currents, making short-term forecasts of local high-altitude reshaping of the bottom, determining the tendencies of erosion and accumulation of sediments upstream and downstream of protective structures are applicable for predicting channel deformations in the zone of the TLUC. In all these cases, it is mandatory to have materials from engineering-hydro-meteorological and engineering-geological surveys in an amount sufficient to compile a reliable mathematical model.

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