Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 정호기 | - |
dc.date.accessioned | 2018-03-23T02:14:01Z | - |
dc.date.available | 2018-03-23T02:14:01Z | - |
dc.date.issued | 2014-04 | - |
dc.identifier.citation | International Journal of Automotive Technology April 2014, Volume 15, Issue 3, pp 483?494 | en_US |
dc.identifier.issn | 1229-9138 | - |
dc.identifier.issn | 1976-3832 | - |
dc.identifier.uri | https://link.springer.com/article/10.1007/s12239-014-0051-5 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11754/51054 | - |
dc.description.abstract | This paper describes a parallel model-based fault detection algorithm for an electronic parking brake (EPB) system, which consists of an electronic control unit with built-in current sensor and braking force sensor. For the EPB system to supply sufficient parking force to a vehicle, the parking force sensor is of utmost importance. If a fault occurs in this sensor, sufficient parking force may not be supplied, thereby seriously threatening the safety of the vehicle. Thus, a fault detection method is required for the parking force sensor of the EPB system to improve the safety of vehicles. For this purpose, a highly reliable fault detection method is needed to detect abnormal fault signals, which cannot be detected by the existing on-line sensor monitoring fault detection methods. This paper proposes a novel parallel model-based fault detection algorithm for the EPB system, which compares the physical sensor data with the mathematical model, the fuzzy model, and the neural network model at the same time. In order to reduce false alarms, the magnitude of thresholds and the operation counts are changed adaptively. When the proposed parallel model-based fault detection algorithm detects severe failures of the force sensor, it warns the driver in advance to prevent accidents due to the failures. The proposed algorithm is verified by hardware-in-theloop simulations in various situations. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer | en_US |
dc.subject | Electronic parking brake | en_US |
dc.subject | Model-based fault detection | en_US |
dc.subject | Mathematical model | en_US |
dc.subject | Fuzzy model and neural network model | en_US |
dc.title | PARALLEL MODEL BASED FAULT DETECTION ALGORITHM FOR ELECTRONIC PARKING BRAKE SYSTEM | en_US |
dc.type | Article | en_US |
dc.relation.volume | 15 | - |
dc.identifier.doi | 10.1007/s12239-014-0051-5 | - |
dc.relation.page | 483-494 | - |
dc.relation.journal | INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY | - |
dc.contributor.googleauthor | Moon, B. J. | - |
dc.contributor.googleauthor | Jung, H. G. | - |
dc.contributor.googleauthor | Lee, S. G. | - |
dc.contributor.googleauthor | Kim, D. H. | - |
dc.relation.code | 2014031331 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF AUTOMOTIVE ENGINEERING | - |
dc.identifier.pid | hogijung | - |
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