To provide an abnormality detection system and an abnormality detection method that predict in advance a place where a large track displacement is highly likely to occur, by using history data of track displacement and maintenance results.SOLUTION: A track abnormality detection system uses time series data of track measurement measured for each prescribed lot in a section according to measuring means mounted to a vehicle traveling along a track in a prescribed section. The measuring means includes: measurement history recording means for measuring track measurement data containing at least one of height displacement, passing displacement, track gauge displacement, level displacement and flatness displacement of the track, and for recording measurement history with the track measurement data as time series data; and diagnostic means for inputting the track measurement data measured by the measuring means. The diagnostic means classifies the inputted track measurement data into predetermined clusters by using indices of a peak value, a standard deviation, a maximum deviation, an improvement frequency and sudden advance frequency, and determines the classified clusters.SELECTED DRAWING: Figure 2
【課題】軌道変位と保守実績の履歴データを用いて、大きな軌道変位の発生可能性が高い箇所を事前に予測する異常検知システム及び異常検知方法を提供する。【解決手段】所定の区間の軌道に沿って走行する車両に搭載された測定手段によって、前記区間の所定のロット毎に測定された軌道検測の時系列データを用いた軌道の異常検知システムであって、前記測定手段は、前記軌道の高低変位、通り変位、軌間変位、水準変位及び平面性変位の少なくとも1つを含む軌道検測データを測定し、前記軌道検測データを時系列データとして測定履歴を記録する測定履歴記録手段と、前記測定手段によって測定された軌道検測データを入力する診断手段を備え、前記診断手段は、入力された軌道検測データをピーク値、標準偏差、最大偏差、改善回数及び急進回数の指標を用いて所定のクラスタに分類し、分類された前記クラスタを判定する判定手段を備える。【選択図】図2
TRACK ABNORMALITY DETECTION SYSTEM AND TRACK ABNORMALITY DETECTION METHOD
軌道の異常検知システム及び異常検知方法
26.01.2023
Patent
Elektronische Ressource
Japanisch
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