Smart monitoring fault detection system for malfunction traffic light operation.
Normally, signboards are used to remind road users to call contractor and authority department, when malfunction of traffic light operation occurs. As a result, the action that taken for repairing the traffic light system is depend on initiative of the road users to call and report the failure of...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/27374/1/ID%2027374.pdf |
| _version_ | 1796971121864605696 |
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| author | Che Soh, Azura Ishak, Asnor Juraiza Zaini, Mohd Hanif |
| author_facet | Che Soh, Azura Ishak, Asnor Juraiza Zaini, Mohd Hanif |
| author_sort | Che Soh, Azura |
| collection | UPM |
| description | Normally, signboards are used to remind road users to call contractor and authority department, when malfunction of traffic light operation occurs. As a result, the
action that taken for repairing the traffic light system is
depend on initiative of the road users to call and report the failure of traffic light operation. The delay of report to local authority will cause the repairing work delayed. To overcome this problem, a smart monitoring fault detection system has been developed to monitor the traffic light operation in rural area or small city. The Fuzzy-Fault Identification and Fuzzy-Fault Classifications are two modules which employed as the subsystems in fault detection system. Both of the modules are used to classify the level of seriousness for traffic light failure based on two factors of failures which are electrical fault and mechanical fault. The seriousness of the traffic light failures are classified to four conditions such as normal, non-critical 1, non-critical 2 and critical and a signal will be sent to the contractor and authority department via message service for further action. Thus, it is a more effective system and has a bright prospect to be implemented in Malaysia. |
| first_indexed | 2024-03-06T08:08:16Z |
| format | Conference or Workshop Item |
| id | upm.eprints-27374 |
| institution | Universiti Putra Malaysia |
| language | English English |
| last_indexed | 2024-03-06T08:08:16Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | upm.eprints-273742014-06-13T01:41:46Z http://psasir.upm.edu.my/id/eprint/27374/ Smart monitoring fault detection system for malfunction traffic light operation. Che Soh, Azura Ishak, Asnor Juraiza Zaini, Mohd Hanif Normally, signboards are used to remind road users to call contractor and authority department, when malfunction of traffic light operation occurs. As a result, the action that taken for repairing the traffic light system is depend on initiative of the road users to call and report the failure of traffic light operation. The delay of report to local authority will cause the repairing work delayed. To overcome this problem, a smart monitoring fault detection system has been developed to monitor the traffic light operation in rural area or small city. The Fuzzy-Fault Identification and Fuzzy-Fault Classifications are two modules which employed as the subsystems in fault detection system. Both of the modules are used to classify the level of seriousness for traffic light failure based on two factors of failures which are electrical fault and mechanical fault. The seriousness of the traffic light failures are classified to four conditions such as normal, non-critical 1, non-critical 2 and critical and a signal will be sent to the contractor and authority department via message service for further action. Thus, it is a more effective system and has a bright prospect to be implemented in Malaysia. 2013 Conference or Workshop Item NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/27374/1/ID%2027374.pdf Che Soh, Azura and Ishak, Asnor Juraiza and Zaini, Mohd Hanif (2013) Smart monitoring fault detection system for malfunction traffic light operation. In: The 8th IEEE Conference on Industrial Electronics and Application (ICIEA 2013), 19 - 21 June 2013, Melbourne, Australia. (549-554 ). English |
| spellingShingle | Che Soh, Azura Ishak, Asnor Juraiza Zaini, Mohd Hanif Smart monitoring fault detection system for malfunction traffic light operation. |
| title | Smart monitoring fault detection system for malfunction traffic light operation. |
| title_full | Smart monitoring fault detection system for malfunction traffic light operation. |
| title_fullStr | Smart monitoring fault detection system for malfunction traffic light operation. |
| title_full_unstemmed | Smart monitoring fault detection system for malfunction traffic light operation. |
| title_short | Smart monitoring fault detection system for malfunction traffic light operation. |
| title_sort | smart monitoring fault detection system for malfunction traffic light operation |
| url | http://psasir.upm.edu.my/id/eprint/27374/1/ID%2027374.pdf |
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