| Presentation | 2010/3/19 Detection of Abnormality by Using Waveform Time-series Classifiers on Low-Quality Sensor Data Ken Ueno, Topon Kumar Paul, Makoto Sato, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | To detect abnormality in a target object, multiple sensors are widely used in various application domains. However, when many sensors are necessary for simultaneous monitoring of the target object, use of high-quality sensors may not be feasible due to the high costs of the sensors; instead, low-quality sensors are widely used in many industrial applications. In this paper, we propose a decision fusion technique called k-Nearest Neighbor-based Bayesian Classifier(k-NNBC)that enables accurate anomaly detection using multivariate sensor data. In our empirical evaluations on the angular bump related anomaly detection problem using a 3-axis accelerometer, we have found that the k-NNBC outperforms the widely-used k-Nearest Neighbor(k-NN)classifier with Dynamic Time Warping(DTW)distance measure; especially on low-specification configurations, the k-NNBC improves the accuracy by approximately 12.5% on the average, which shows the effectiveness of the proposed method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Anomaly Detection / Decision Fusion / k-Nearest Neighbor-based Bayesian Classifier / Dynamic Time Warping |
| Paper # | SSS2009-35 |
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| Conference Information | |
| Committee | SSS |
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| Conference Date | 2010/3/19(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Safety (SSS) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Detection of Abnormality by Using Waveform Time-series Classifiers on Low-Quality Sensor Data |
| Sub Title (in English) | |
| Keyword(1) | Anomaly Detection |
| Keyword(2) | Decision Fusion |
| Keyword(3) | k-Nearest Neighbor-based Bayesian Classifier |
| Keyword(4) | Dynamic Time Warping |
| 1st Author's Name | Ken Ueno |
| 1st Author's Affiliation | System Engineering Laboratory, Corporate Research & Development Center, Toshiba Corporation() |
| 2nd Author's Name | Topon Kumar Paul |
| 2nd Author's Affiliation | System Engineering Laboratory, Corporate Research & Development Center, Toshiba Corporation |
| 3rd Author's Name | Makoto Sato |
| 3rd Author's Affiliation | System Engineering Laboratory, Corporate Research & Development Center, Toshiba Corporation |
| Date | 2010/3/19 |
| Paper # | SSS2009-35 |
| Volume (vol) | vol.109 |
| Number (no) | 473 |
| Page | pp.pp.- |
| #Pages | 4 |
| Date of Issue | |