| Project/Area Number |
24780243
|
|---|
| Research Category |
Grant-in-Aid for Young Scientists (B)
|
| Allocation Type | Multi-year Fund |
|---|
| Research Field |
Agricultural environmental engineering
|
|---|
| Research Institution | Kyushu University |
|---|
Principal Investigator |
MITSUOKA Muneshi 九州大学, (連合)農学研究科(研究院), 助教 (60437770)
|
|---|
| Project Period (FY) |
2012-04-01 – 2014-03-31
|
| Project Status |
Completed (Fiscal Year 2013)
|
| Budget Amount *help |
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2013: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2012: ¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
|
|---|
| Keywords | 異常検知 / 農業機械の安全性 / 時系列データ / 変化点解析 / 複数時系列データ / 異常検出 / ハマラノビス距離 / 農業機械 / 転倒 / 特徴抽出 / 農作業事故 / 稼働状況の把握 / 異常値検出 / 振動加速度 / 角加速度 / 時系列解析 / 安全性 |
|---|
| Research Abstract |
In this study, a fault diagnosis and anomaly detecting system for agricultural machinery was developed. The system consists of a MEMS 3 axis accelerometer and a 3 axis gyrometer. I recorded time series data of vibration of agricultural machinery under normal operation and abnormal state to extract the diffidence between normal and abnormal state based on time series analysis, machine learning and statistical technique.
|
