| Title | K-Nearest Neighbors and Grid Search CV Based Real Time Fault Monitoring System for Industries |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Ranjan, G S K, Kumar Verma, Amar, Radhika, Sudha |
| Conference Name | 2019 IEEE 5th International Conference for Convergence in Technology (I2CT) |
| Keywords | Circuit faults, Classification algorithms, condition monitoring (CM), cross validation (CV), Data models, fault detection, fault detection techniques, fault diagnosis, feature selection, flask, graphical user interface (GUI), grid search, grid search cross validation, grid search CV, induction machine, Induction machines, Industries, Internet, k-nearest neighbors, K-Nearest Neighbors (KNN), KNN, knowledge-based approach, Measurement, Metrics, model-based techniques, nearest neighbor search, nearest neighbour methods, Prediction algorithms, production engineering computing, pubcrawl, python, python web framework, real time fault monitoring, signature extraction-based approach, Statistics, time fault monitoring system, user friendly interface, user interfaces |
| Abstract | Fault detection in a machine at earlier stage can prevent severe damage and loss to the industries. Fault detection techniques are broadly classified into three categories; signature extraction-based, model-based and knowledge-based approach. Model-based techniques are efficient for raising an alarm signal if there is any fault in the machine. This paper focuses on one such model based-technique to identify the internal faults of induction machine. The model developed is deployed in the end to make it feasible to use in real time. K-Nearest Neighbors (KNN) and grid search cross validation (CV) have been used to train and optimize the model to give the best results. The advantage of proposed algorithm is the accuracy in prediction which has been seen to be 80%. Finally, a user friendly interface has been built using Flask, a python web framework. |
| DOI | 10.1109/I2CT45611.2019.9033691 |
| Citation Key | ranjan_k-nearest_2019 |
K-Nearest Neighbors and Grid Search CV Based Real Time Fault Monitoring System for Industries