Decision Support System for Identifying Technical Condition of Combustion Engine

2016 ◽  
Vol 41 (3) ◽  
pp. 449-460 ◽  
Author(s):  
Adam Deptuła ◽  
Piotr Osiński ◽  
Urszula Radziwanowska
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Input Data ◽  
Sound Pressure ◽  
Combustion Engine ◽  
Technical Condition ◽  
Decision Method ◽  
Acoustic Diagnostics ◽  
Type Of Failure

AbstractThe paper is a continuation of the publication under the title “Acoustic diagnostics applications in the study of technical condition of combustion engine” and concerns the detailed description of decision support system for identifying technical condition (type of failure) of specified combustion engine. The input data were measured sound pressure levels of specific faults in comparison to the noise generated by undamaged motor. In the article, the whole procedure of decision method based on game graphs is described, as well as the interface of the program for direct usage.

scholarly journals MEGASITE MANAGEMENT TOOL (MMT): A DECISION SUPPORT SYSTEM BUILT USING MAPWINDOW ACTIVEX CONTROL

2017 ◽  
Vol IV-4/W4 ◽  
pp. 319-323 ◽  
Author(s):  
B. R. Pulsani
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Open Source ◽  
Support System ◽  
Input Data ◽  
Decision Makers ◽  
Management Tool ◽  
Contaminated Sites ◽  
Attribute Information ◽  
Geographic Data

Megasite Management Tool (MMT) is planning and evaluation software for contaminated sites. Using different statistical modules, MMT produces maps which help decision makers in rehabilitating contaminated sites. The input data used by MMT is of geographic nature and exists as shapefile and raster format. As MMT is built using simple windows forms application, the objective of the study was to find a way to visualize geographic data and to allow the user to edit its attribute information. Therefore, the application requirement was to find GIS libraries which offer capabilities such as (1) map viewer with navigation tools (2) library to read/write geographic data and (3) software which allows free distribution of the developed components. A research on these requirements led to the discovery of MapWindow ActiveX components which not only offered these capabilities but also provided free and open source licensing options for redistribution. Although considerable amount of reports and publications exist on MMT, the major contribution provided by MapWindow libraries have been under played. The current study emphasises upon the contribution and advantages MapWindow ActiveX provides for incorporating GIS functionality to an already existing application. Similar components for other languages have also been reviewed.

scholarly journals ESTIMATION OF THE DEFECT HAZARD CLASS IN BUILDING STRUCTURES: A DECISION SUPPORT SYSTEM

2021 ◽  
Vol 17 (4) ◽  
pp. 106-114
Author(s):  
Vladislav Kats ◽  
Liubov Adamtsevich
Keyword(s):  
Acoustic Emission ◽  
Decision Support ◽  
Decision Support System ◽  
Condition Monitoring ◽  
Support System ◽  
Sufficient Conditions ◽  
Technical Condition ◽  
Building Structures ◽  
Hazard Class ◽  
Diagnostic Features

Technical condition monitoring of building structures located on hazardous facilities is a necessary requirement for their sustainable functioning. In this regard, the problem of development intellectual monitoring systems that allow to detect and classify operating defects by the hazardous level becomes very urgent. The study presents an approach of building decision support system (DSS) for detecting defects in building structures and estimation of their hazard class. Proposed approach is based on multi-criteria assessment of consecutive measurements acquired by acoustic emission method. A distinctive characteristic of the proposed approach is the ability to take into account the evolution of defects by mapping each AE time-series to diagnostic features matrix and analysing these matrices in sliding windows with overlay. Each matrix is validated by two criteria that form the necessary and sufficient conditions of the existence the evolving defects in building structure. They include the criterion for changing the number of clusters and the criterion for changing the acoustic emission activity. Proposed method was verified on the experimental data acquired from the technical condition monitoring of the vertical oil tanks. The results obtained fromthe experiment confirm the proposal that this approach can be utilized for effectively solving the problem of conditionalmonitoring of building structures located on the hazardous facilities allowing to detect and classify defects by theirhazardous level.

scholarly journals Development of Knowledge Sharing Model Using Decision Support System In Determine Feasible on the Job Training In Vocational School Using Vikor Method

2021 ◽  
Vol 4 (2) ◽  
pp. 583
Author(s):  
S Safrizal ◽  
A Ambyar ◽  
Unung Verawardina
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Knowledge Sharing ◽  
Support System ◽  
Input Data ◽  
Job Training ◽  
Vocational School ◽  
Vikor Method ◽  
Complex Problems ◽  
On The Job Training

Decision support system (SPK) as a system that can process input data into one information that can be used as a more accurate decision support for the school in recommending students who meet the categories or requirements in following the Job Training. The system that was built carried out the process of determining decision support based on the Vise Kriterijumska Optimizajica I Kompromisno Resenje (VIKOR) method which is able to simplify complex problems in determining feasible to follow the On The Job Trainings based on criteria using formulas whose results are right on target.

scholarly journals SISTEM PENDUKUNG KEPUTUSAN PENANGANAN GIZI BALITA DENGAN METODE FUZZY MAMDANI

2018 ◽  
Vol 16 (1) ◽  
pp. 51
Author(s):  
Heru Budi Kusumo ◽  
Dwi Remawati ◽  
Yustina Retno Wahyu Utami
Keyword(s):  
Artificial Intelligence ◽  
Decision Support ◽  
Nutritional Status ◽  
Decision Support System ◽  
Support System ◽  
Input Data ◽  
Data Uncertainty ◽  
Nutrition Value ◽  
Nutritional Status Of Children ◽  
Made In

Decision Support System is a branch of artificial intelligence used to help make decisions in semi-structured cases, where it is not known exactly how decisions should be made. In this research, the design and making of decision support system that is used to help determine the nutritional status of children with weight input, age, height, head circumference, nutrition value of toddlers and the output of nutritional status of children under five and their handling. The problem of data uncertainty in decision support system is solved by using fuzzy mamdani method. The existence of data uncertainty in the process can occur because of the differences in existing calculations on the system. The process of determining the nutritional status of this decision support system is begun by entering the input data of toddlers, where the system will display some variables that have been made then start the calculation with the application. The end result of this research is decision support system to do nutritional handling in toddler along with their nutrition result. The calculations show the level of confidence in the system of nutritional status of the toddler and from the results of this study obtained the system accuracy of 83.33% of the 18 test data that has been tested is obtained. Therefore, it can be concluded that decision support system produces a good examination.  Keywords: Decision Support System, Fuzzy Mamdani, Underfive Nutrition

scholarly journals MODULE FOR DIAGNOSIS OF THE INTERNAL COMBUSTION ENGINE IN THE DECISION SUPPORT SYSTEM BY THE CREW OF THE TANKER-GAS CARRIER

2017 ◽  
pp. 31-39
Author(s):  
Alexey Ivanovich Epikhin
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Internal Combustion Engine ◽  
Support System ◽  
Internal Combustion Engines ◽  
Combustion Engine ◽  
Internal Combustion ◽  
Diagnostic Tools ◽  
Main Function ◽  
Diagnostic Module

The article contains information on the development of a module for diagnosing an internal combustion engine in terms of a decision support system for a crew of a gas carrier. The diagnostic module of the internal combustion engine in the decision support system allows reducing the volumes of information processed by the operator, which helps minimize the influence of "a human factor" on safety of a gas carrier operation. The main function of the diagnostic module of internal combustion engines is to detect deviations in values of operational parameters that indicate violations in the state of the nodes and engine parts or failures in operation. Based on the detected deviations, the diagnostic subsystem of the developed module can determine malfunctions of the internal combustion engine at the initial stage and deter its damage. Further, appropriate proposals should be developed for a gas carrier operator to eliminate failures or minimize the negative impact. These imply correcting the modes of operation of the engine or its systems, or taking specific measures to perform maintenance or repair of the relevant units and parts. The module for diagnosing the internal combustion engine in terms of the decision support system is proposed to be built on three-level architecture: primary (lower) level; level of data transmission; control and analytical level. Technical implementation of the developed diagnostic module for internal combustion engine assumes the use of existing diagnostic tools and additional means of collecting information on various engine functional parameters. A block diagram of the internal combustion engine diagnostic module has been provided and the main functions of the decision support system modules have been described. As a result of functioning of the module for diagnosing the internal combustion engine in terms of decision support system for the gas carrier crew, specific recommendations have been developed and displayed, which allows avoiding dangerous and emergency situations in the operation process.

Decision Support System Development Based On Android Using Analytical Hierarchy Process (AHP) Method For Determining The Middle Small Business Development Priority In Sorong City

2019 ◽  
Vol 5 (2) ◽  
pp. 25-39
Author(s):  
Luluk Suryani ◽  
Raditya Faisal Waliulu ◽  
Ery Murniyasih
Keyword(s):  
Decision Support ◽  
Small Business ◽  
Decision Support System ◽  
Support System ◽  
Analytical Hierarchy Process ◽  
System Development ◽  
Business Development ◽  
Ahp Method ◽  
Small Business Development ◽  
Hierarchy Process

Usaha Kecil Menengah (UKM) adalah salah satu penggerak perekonomian suatu daerah, termasuk Kota Sorong. UKM di Kota Sorong belum berkembang secara optimal. Ada beberapa penyebab diantaranya adalah mengenai finansial, lokasi, bahan baku dan lain-lain. Untuk menyelesaikan permasalah tersebut peneliti terdorong untuk melakukan pengembangan Aplikasi yang dapat membantu menentukan prioritas UKM yang sesuai dengan kondisi pelaku usaha. Pada penelitian ini akan digunakan metode Analitycal Hierarchy Process (AHP), untuk pengambilan keputusannya. Metode AHP dipilih karena mampu menyeleksi dan menentukan alternatif terbaik dari sejumlah alternatif yang tersedia. Dalam hal ini alternatif yang dimaksudkan yaitu UKM terbaik yang dapat dipilih oleh pelaku usaha sesuai dengan kriteria yang telah ditentukan. Penelitian dilakukan dengan mencari nilai bobot untuk setiap atribut, kemudian dilakukan proses perankingan yang akan menentukan alternatif yang optimal, yaitu UKM. Aplikasi Sistem Pendukung Keputusan yang dikembangkan berbasis Android, dimana pengguna akan mudah menggunakannya sewaktu-waktu jika terjadi perubahan bobot pada kriteria atau intensitas.  Hasil akhir menunjukkan bahwa metode AHP berhasil diterapkan pada Aplikasi Penentuan Prioritas Pengembangan UKM.

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