Fault detection in waste water treatment plant using statistical analysis & machine learning
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019.
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| Språk: | English |
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Brac University
2019
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| Länkar: | http://hdl.handle.net/10361/12811 |
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10361-128112022-01-26T10:10:34Z Fault detection in waste water treatment plant using statistical analysis & machine learning Haque, Md. Ezazul Islam, Md. Mazed Ul Rahat, Noor A Elahi Amin, Md. Mahmudul Mobin, Iftekharul Department of Computer Science and Engineering, Brac University Machine learning Fault detection This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019. Cataloged from PDF version of thesis. Includes bibliographical references (pages 30-31). A suitable model needs to be developed for detecting fault of wastewater treatment plant in order to monitor, predict plant performance and for reducing environment pollutions. Main objective of this study is to introduce time and cost effective data science & machine learning technique to monitor WWTP’s performance and detect plant’s fault instead of manual, laboratory based time consuming, costly, difficult methods. One year of unsupervised data of WWTP collected and convert into supervised data in order to visualized plant’s fault using python. Moreover four model has been created based on water quality standard parameters(Ph, BOD, COD, suspended solid) and we applied different machine learning algorithm’s to take decision by machine itself after identifying normal or faulty data. Machine learning technique in case of finding fault, taking decision gives satisfactory result but different algorithms shows best accuracy for different model. However, machine-learning method will be accurate automatic solution for detecting fault of wastewater treatment plant and reducing environment pollution. Md. Ezazul Haque Md. Mazed Ul Islam Noor A Elahi Rahat Md. Mahmudul Amin B. Computer Science 2019-10-28T07:53:14Z 2019-10-28T07:53:14Z 2019 2019-12 Thesis ID 12121049 ID 12321046 ID 12321012 ID 10321016 http://hdl.handle.net/10361/12811 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 31 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Machine learning Fault detection |
| spellingShingle |
Machine learning Fault detection Haque, Md. Ezazul Islam, Md. Mazed Ul Rahat, Noor A Elahi Amin, Md. Mahmudul Fault detection in waste water treatment plant using statistical analysis & machine learning |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019. |
| author2 |
Mobin, Iftekharul |
| author_facet |
Mobin, Iftekharul Haque, Md. Ezazul Islam, Md. Mazed Ul Rahat, Noor A Elahi Amin, Md. Mahmudul |
| format |
Thesis |
| author |
Haque, Md. Ezazul Islam, Md. Mazed Ul Rahat, Noor A Elahi Amin, Md. Mahmudul |
| author_sort |
Haque, Md. Ezazul |
| title |
Fault detection in waste water treatment plant using statistical analysis & machine learning |
| title_short |
Fault detection in waste water treatment plant using statistical analysis & machine learning |
| title_full |
Fault detection in waste water treatment plant using statistical analysis & machine learning |
| title_fullStr |
Fault detection in waste water treatment plant using statistical analysis & machine learning |
| title_full_unstemmed |
Fault detection in waste water treatment plant using statistical analysis & machine learning |
| title_sort |
fault detection in waste water treatment plant using statistical analysis & machine learning |
| publisher |
Brac University |
| publishDate |
2019 |
| url |
http://hdl.handle.net/10361/12811 |
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AT haquemdezazul faultdetectioninwastewatertreatmentplantusingstatisticalanalysismachinelearning AT islammdmazedul faultdetectioninwastewatertreatmentplantusingstatisticalanalysismachinelearning AT rahatnooraelahi faultdetectioninwastewatertreatmentplantusingstatisticalanalysismachinelearning AT aminmdmahmudul faultdetectioninwastewatertreatmentplantusingstatisticalanalysismachinelearning |
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