JP4118780B2 - Vehicle abnormality detection system and abnormality detection method - Google Patents
Vehicle abnormality detection system and abnormality detection method Download PDFInfo
- Publication number
- JP4118780B2 JP4118780B2 JP2003351551A JP2003351551A JP4118780B2 JP 4118780 B2 JP4118780 B2 JP 4118780B2 JP 2003351551 A JP2003351551 A JP 2003351551A JP 2003351551 A JP2003351551 A JP 2003351551A JP 4118780 B2 JP4118780 B2 JP 4118780B2
- Authority
- JP
- Japan
- Prior art keywords
- vehicle
- abnormality detection
- abnormality
- rail joint
- detection method
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
Landscapes
- Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
- Investigating Or Analyzing Materials By The Use Of Ultrasonic Waves (AREA)
Description
本発明は、鉄道車両の異常を検出するシステム及び検出方法に関するものであり、日々点検の目視・打音検査と併用して用いられる車両の異常検出に関するものである。 The present invention relates to a system and a detection method for detecting an abnormality of a railway vehicle, and relates to an abnormality detection of a vehicle that is used in combination with visual inspection and hammering inspection for daily inspection.
従来の日々点検では、目視と打音検査が主体で、台車（車輪・車軸を含む）や車体各部のボルトのゆるみ、傷等の点検がなされている。
上記従来の方法においては、点検に時間がかかり、多くの専門の検査員を必要とするという課題があった。 The conventional method has a problem that it takes time for inspection and requires many specialized inspectors.
本発明の目的は、車両基地を出庫あるいは入庫する際に台車や車体に異常がないかを音の測定で検出し、部位を絞った詳細な目視・打音検査と一体化することにより、効率的でしかも確実な車両の異常検出システム並びに検出方法を提案することである。 The object of the present invention is to detect whether there is any abnormality in the trolley or the car body when leaving or entering the vehicle base by sound measurement, and by integrating it with detailed visual and hammering inspection that narrows down the site, It is to propose an objective and reliable vehicle abnormality detection system and detection method.
車両基地内の走行レールの一部にレール継ぎ目を持たせ、このレール継ぎ目をゆっくり一定の速度（５〜１０ｋｍ／ｈ）で通過する際の台車及び車体各部の振動を地上設備により音でキャッチし、平常時と比較して異常を検出するようにしたことである。 A part of the traveling rail in the depot is provided with a rail joint, and the vibration of each part of the carriage and the vehicle body when the rail joint passes slowly at a constant speed (5 to 10 km / h) is caught by the ground equipment with sound. This is because an abnormality is detected in comparison with normal times.
上記のように構成されている車両の異常検出システムでは、車輪がレール継ぎ目を通過するときに受ける加振により、車体・台車の各部の異常振動（例えば、ボルトの緩みによるびびり振動等）が発生すれば、これを検出してアラームを発信することができるので、検査員はその部位の目視・打音検査等の点検を入念にでき、日々の検査業務を著しく効率化することができる。また、これらのデータは日々積み重ねていくことができるので、異常レベルを超さなくても徐々に異常レベルに近づいている等の情報も得られ、きめ細かい検査が可能である。さらに、将来的にはデータの積み重ねにより信頼性を上げ、打音検査なしのシステムに持っていき、より効率化することも可能である。 In the vehicle abnormality detection system configured as described above, abnormal vibrations (such as chatter vibration due to loosening of bolts) occur in each part of the car body and carriage due to the vibration that the wheels receive when passing through the rail joint. Then, since this can be detected and an alarm can be transmitted, the inspector can carefully perform inspections such as visual inspection and hammering inspection of the part, and can greatly improve the efficiency of daily inspection work. Further, since these data can be accumulated day by day, information such as gradually approaching the abnormal level can be obtained without exceeding the abnormal level, and a detailed inspection is possible. Furthermore, in the future, it is possible to increase the reliability by accumulating data and bring it to a system without a hammering test for further efficiency.
発明の実施の形態を実施例に基き図面を参照し説明する。 An embodiment of the invention will be described based on an example with reference to the drawings.
図１は本発明の１実施例を示す車両の異常検出システムのシステム構成図である。本実施例において、１は車両基地内に設置されたレールであり、途中にレール継ぎ目２を持たせている。３はレール継ぎ目２の近傍に設置した騒音計であり、この実施例では前後・左右合計９個の騒音計３１〜３９を配置している。４はデータ収録装置で、騒音計３１〜３９と結んで、出力をデータ処理装置５に送っている。 FIG. 1 is a system configuration diagram of a vehicle abnormality detection system showing an embodiment of the present invention. In this embodiment, reference numeral 1 denotes a rail installed in the vehicle base, and has a rail joint 2 in the middle. Reference numeral 3 denotes a sound level meter installed in the vicinity of the rail joint 2. In this embodiment, a total of nine sound level meters 31 to 39 in the front and rear and left and right directions are arranged. A data recording device 4 is connected to the sound level meters 31 to 39 and sends an output to the data processing device 5.
図２は図１における騒音計３の設置位置を走行する車両との関連で示したものであり、６は枕木、７は道床、８は車両の車輪、９は台車、１０は車体であり、騒音計３は道床７あるいは枕木６に取付けている。 2 is shown in relation to a vehicle traveling at the installation position of the sound level meter 3 in FIG. 1, 6 is a sleeper, 7 is a roadbed, 8 is a vehicle wheel, 9 is a carriage, 10 is a vehicle body, The sound level meter 3 is attached to the road bed 7 or the sleepers 6.
検査対象の車両の車輪８がレール継ぎ目２に近づいた時点から騒音計３のデータ採りを始め、レール継ぎ目２の通過後まで測定する。実際には車軸分の車輪がそれぞれのレールを通過するので、編成車両の車軸通過を全て記録することになる。 Data collection by the sound level meter 3 is started from the time when the wheel 8 of the vehicle to be inspected approaches the rail joint 2, and the data is measured until after passing through the rail joint 2. Actually, since the wheels for the axles pass through the rails, all the axle passages of the trained vehicle are recorded.
データ収録装置４で収録したデータを５のデータ処理装置に送って、レール継ぎ目２通過時の最大音発生時の周波数分析を実施し、事前に記録された平常時の周波数分析結果との差分により異常を検出する。 The data recorded by the data recording device 4 is sent to the data processing device 5 to perform frequency analysis at the time of maximum sound generation when the rail joint 2 passes, and by the difference from the normal frequency analysis result recorded in advance. Detect anomalies.
この時、レール継ぎ目２を通過するときの速度を一定にしておくことが検出精度を上げることになり、暗騒音の影響を除去するためには、レール継ぎ目２通過時の最大騒音の周波数特性からレール継ぎ目２通過前の騒音の周波数特性を差し引いた信号をベースとすることにより、検出精度を上げることができる。また、車輪がレール継ぎ目を通過するときのごつんという転動音は低周波成分が主体であり、周波数分析をすることによりその影響を少なくすることができる。平常時に現れていないピーク周波数に注目することも検出精度を上げる有効な手段である。また、平常時のデータは、数回以上の平均とし、その際のばらつきも明確にし、このばらつき範囲を超えた場合に異常を検出させるようにするとよい。 At this time, keeping the speed when passing through the rail joint 2 increases the detection accuracy. In order to eliminate the influence of background noise, the frequency characteristics of the maximum noise when passing through the rail joint 2 are used. The detection accuracy can be improved by using a signal obtained by subtracting the frequency characteristic of noise before passing through the rail joint 2 as a base. In addition, the rolling noise when the wheels pass through the rail joint mainly consists of low frequency components, and the influence can be reduced by performing frequency analysis. Focusing on peak frequencies that do not appear in normal times is also an effective means for improving detection accuracy. Further, it is preferable that the average data is averaged several times or more, the variation at that time is clarified, and an abnormality is detected when the variation range is exceeded.
本発明は以上説明したように構成されているので、以下に記載したような効果を奏する。本実施例によれば、車輪がレール継ぎ目を通過するときに加振を受け、車体あるいは台車各部の異常振動（例えば、ボルトの緩みによるびびり振動等）が発生すれば、これを検出してアラームを発信することができるので、検査員はその部位の目視・打音検査等の点検を入念にでき、日々の検査業務を著しく効率化することができる。また、これらのデータは日々積み重ねていくことができるので、異常レベルを超さなくても徐々に異常レベルに近づいている等の情報も得られ、きめ細かい検査が可能である。さらに、将来的にはデータの積み重ねにより信頼性を上げ、打音検査なしのシステムに持っていき、より効率化することも可能である。 Since the present invention is configured as described above, the following effects can be obtained. According to the present embodiment, when a wheel passes through a rail joint, vibration is applied, and abnormal vibration (for example, chatter vibration due to bolt loosening) occurs in the vehicle body or each part of the carriage, and this is detected and alarmed. Therefore, the inspector can carefully perform inspection such as visual inspection and hammering inspection of the part, and can greatly improve the efficiency of daily inspection work. Further, since these data can be accumulated day by day, information such as gradually approaching the abnormal level can be obtained without exceeding the abnormal level, and a detailed inspection is possible. Furthermore, in the future, it is possible to increase the reliability by accumulating data and bring it to a system without a hammering test for further efficiency.
本実施例では騒音計３を９個使用しているが、異常音の周波数により異常場所がすぐに特定できるような場合には、騒音計の設定個数を減らしてもよい。また、特定の位置に監視したい部位がある場合には、その位置に対応した位置に騒音計を取り付けてもよい。騒音計３は騒音計全体を道床７に配置してもよいし、センサ部のみを配置し、その他の部分をデータ収録装置４と一体にさせてもよい。騒音計は雨の影響を受けやすいので、車両基地内の建屋内に設けるのがよい。 In this embodiment, nine sound level meters 3 are used. However, when the abnormal location can be immediately identified by the frequency of the abnormal sound, the number of set sound level meters may be reduced. Further, when there is a part to be monitored at a specific position, a noise meter may be attached at a position corresponding to the position. The sound level meter 3 may be arranged on the road bed 7 as a whole, or only the sensor part may be placed, and the other part may be integrated with the data recording device 4. Since the sound level meter is easily affected by rain, it should be installed in the building in the depot.
さらに、実際の車両の走行速度は設定の速度より若干の差が生じるので、レール継ぎ目の前後２箇所に車両の通過検知センサを置いてレール継ぎ目を通過する速度を計測し、設定速度に合わせてデータを補正することが有効である。 Furthermore, since the actual vehicle running speed is slightly different from the set speed, the vehicle passage detection sensors are placed at two locations before and after the rail joint to measure the speed at which the rail joint passes, and according to the set speed. It is effective to correct the data.
以上述べたように、本発明によれば、車両基地を出庫あるいは入庫する際に台車や車体に異常がないかを音の測定で検出し、部位を絞った詳細な目視・打音検査と一体化することにより、効率的でしかも確実な車両の異常検出システム並びに検出方法を提供することができる。 As described above, according to the present invention, when a vehicle base is delivered or received, it is detected by sound measurement whether there is an abnormality in the carriage or the vehicle body, and integrated with a detailed visual / sound inspection that narrows down the part. Therefore, an efficient and reliable vehicle abnormality detection system and detection method can be provided.
１．レール
２．レール継ぎ目
３．騒音計
４．データ収録装置
５．データ処理装置
６．枕木
７．道床
８．車輪
９．台車
１０．車体
1. Rail 2. 2. Rail joint Sound level meter4. 4. Data recording device Data processing device 6. Sleepers 7 Roadbed 8. Wheel 9. Dolly 10. Body
Claims (9)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2003351551A JP4118780B2 (en) | 2003-10-10 | 2003-10-10 | Vehicle abnormality detection system and abnormality detection method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2003351551A JP4118780B2 (en) | 2003-10-10 | 2003-10-10 | Vehicle abnormality detection system and abnormality detection method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JP2005114637A JP2005114637A (en) | 2005-04-28 |
| JP4118780B2 true JP4118780B2 (en) | 2008-07-16 |
Family
ID=34542762
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2003351551A Expired - Fee Related JP4118780B2 (en) | 2003-10-10 | 2003-10-10 | Vehicle abnormality detection system and abnormality detection method |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JP4118780B2 (en) |
Families Citing this family (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2012129309A2 (en) * | 2011-03-21 | 2012-09-27 | Purdue Research Foundation | Extended smart diagnostic cleat |
| JP2015172516A (en) * | 2014-03-12 | 2015-10-01 | Ntn株式会社 | Bearing abnormality detection apparatus for railroad vehicle |
| JP6722573B2 (en) * | 2016-12-06 | 2020-07-15 | 公益財団法人鉄道総合技術研究所 | Condition monitoring device |
| JP6998291B2 (en) * | 2017-12-05 | 2022-01-18 | 公益財団法人鉄道総合技術研究所 | Condition monitoring device, condition monitoring method and program |
| KR102235625B1 (en) * | 2019-11-05 | 2021-04-05 | 한국철도기술연구원 | Abnormal condition diagnosing system and method of diagnosing abnormal condition using the same |
| CN113960487B (en) * | 2021-09-02 | 2024-08-23 | 广西柳州钢铁集团有限公司 | Method for quickly repairing insulation short-circuit fault of track circuit |
| CN114088326A (en) * | 2021-11-30 | 2022-02-25 | 洛阳双瑞橡塑科技有限公司 | Vibration excitation system and method for testing vibration of road bed plate |
-
2003
- 2003-10-10 JP JP2003351551A patent/JP4118780B2/en not_active Expired - Fee Related
Also Published As
| Publication number | Publication date |
|---|---|
| JP2005114637A (en) | 2005-04-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP5382991B2 (en) | Abnormality diagnosis method and abnormality diagnosis system for track system | |
| CN102548828B (en) | Method and instrumentation for detection of rail defects, in particular rail top defects | |
| EP3237265B1 (en) | System for detecting a break in a rail | |
| CN108515984B (en) | Wheel damage detection method and device | |
| JP4298433B2 (en) | Railway vehicle abnormality detection device | |
| CN105929025B (en) | One kind is based on the continuous wheel tread of the time and space and rail deformation detection method | |
| CN107200040A (en) | For the method and system for the vertically profiling for determining raceway surface | |
| CN102574536B (en) | Method and electronic device for monitoring the state of components of railway vehicles | |
| JP4118780B2 (en) | Vehicle abnormality detection system and abnormality detection method | |
| CN104271428B (en) | Method for investigating Wheel Rail Contact | |
| JP4298635B2 (en) | Axle bearing monitoring method for rolling stock by measuring axle box sound | |
| JP4436188B2 (en) | Railway wheel tread abnormality detection method and apparatus | |
| CN110171442B (en) | Detection system and detection method for wheel flat scars | |
| Papaelias et al. | Advanced wayside condition monitoring of rolling stock wheelsets | |
| CN117957158A (en) | Method for detecting damage to a transport system and control device therefor | |
| JP2008120258A (en) | Detection system of wheel tread state | |
| CN108827665A (en) | Wheel flat fault detection method based on empirical mode decomposition and multi-scale entropy | |
| JPH1048036A (en) | Information detecting method for running train | |
| Bocz et al. | Vibration-based condition monitoring of Tramway track from in service vehicle using time-frequency processing techniques | |
| JP3620790B2 (en) | Method and apparatus for detecting damage state of wheel tread | |
| JP2927101B2 (en) | Flat detection method of wheels for railway vehicles | |
| Bocz et al. | Condition monitoring approach for the inspection of tramway track using rotating wheel mounted inertial sensors | |
| EP3978331B1 (en) | Method for monitoring a railway track and monitoring unit for monitoring a railway track | |
| JPH05656B2 (en) | ||
| Masoumi et al. | Wheelset Condition Monitoring based on pass-by vibration signals |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| RD02 | Notification of acceptance of power of attorney |
Free format text: JAPANESE INTERMEDIATE CODE: A7422 Effective date: 20060207 |
|
| A621 | Written request for application examination |
Free format text: JAPANESE INTERMEDIATE CODE: A621 Effective date: 20061006 |
|
| A977 | Report on retrieval |
Free format text: JAPANESE INTERMEDIATE CODE: A971007 Effective date: 20080411 |
|
| TRDD | Decision of grant or rejection written | ||
| A01 | Written decision to grant a patent or to grant a registration (utility model) |
Free format text: JAPANESE INTERMEDIATE CODE: A01 Effective date: 20080422 |
|
| A61 | First payment of annual fees (during grant procedure) |
Free format text: JAPANESE INTERMEDIATE CODE: A61 Effective date: 20080423 |
|
| R150 | Certificate of patent or registration of utility model |
Free format text: JAPANESE INTERMEDIATE CODE: R150 |
|
| FPAY | Renewal fee payment (event date is renewal date of database) |
Free format text: PAYMENT UNTIL: 20110502 Year of fee payment: 3 |
|
| FPAY | Renewal fee payment (event date is renewal date of database) |
Free format text: PAYMENT UNTIL: 20110502 Year of fee payment: 3 |
|
| FPAY | Renewal fee payment (event date is renewal date of database) |
Free format text: PAYMENT UNTIL: 20140502 Year of fee payment: 6 |
|
| LAPS | Cancellation because of no payment of annual fees |