Prediction of Machine Failure by Using Machine Learning Algorithm
Machine failure halt many processes and causes minimum usage of unexploited resources. Prediction of the anomalies of a machine can act as an indicator and precaution to avoid machine malfunction. Prior to that, the big data undergo preprocessing; data transpose and imputation. Then, the data...
Saved in:
| Main Author: | Fakhrurazi, Nur Amalina |
|---|---|
| Format: | Final Year Project |
| Language: | English |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-utpedia.20846 / |
| Published: |
IRC
2019
|
| Subjects: | |
| Online Access: |
http://utpedia.utp.edu.my/20846/1/NurAmalinaFakhrurazi_24184.pdf http://utpedia.utp.edu.my/20846/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Machine Learning Workflow to Predict Remaining Useful Life (RUL) of
Equipment
by: Mohd Fauzi, Muhammad Farhan Asyraf
Published: (2019) -
Predictive Analytic on Machine Failure by Utilizing Linear
Regression (Historical Data)
by: MOHD SAMLAN, NUR NASHA AYUNI
Published: (2020) -
Data Analysis and Machine Learning Algorithms Evaluation for
Bioliq AI-based Predictive Tool
by: Samuel Simbine, Augusto
Published: (2019) -
Stroke Classification using Machine Learning
by: Kuan, Rachel Khye Xin
Published: (2019) -
MYSUGAR : A MOBILE APPLICATION TO PREDICT BLOOD
SUGAR LEVEL USING MACHINE LEARNING
by: Syed Aiduddin, Syed Ahmad Kashafi
Published: (2019)