2018
DOI: 10.3390/s18124103
|View full text |Cite
|
Sign up to set email alerts
|

Design and Evaluation of a Structural Analysis-Based Fault Detection and Identification Scheme for a Hydraulic Torque Converter

Abstract: A hydraulic torque converter (HTC) is a key component in an automatic transmission. To monitor its operating status and to detect and locate faults, and considering the high-efficiency fault detection and identification (FDI) scheme design by the methodology of structural analysis (SA), this paper presents an SA-based FDI system design and validation for the HTC. By the technique of fault mode and effect analysis (FMEA), eight critical faults are obtained, and then two fault variables are chosen to delegate th… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(2 citation statements)
references
References 30 publications
0
2
0
Order By: Relevance
“…The optimal solution not only ensured the fault diagnosis performance but also ensured that the number of sensors and the cost were minimized [55]. Chen addressed the sensor configuration problem of the antilock braking system to ensure that the fault diagnosis needs were met; the ARR was increased through the sensor configuration, which increased the fault diagnosis performance [56]. Chen transformed the problem of diagnosing a system's faults into solving the system's minimum structural overdetermination and generating the system's residuals using the set of the minimum structural overdetermination [57].…”
Section: Sensor Configurationmentioning
confidence: 99%
“…The optimal solution not only ensured the fault diagnosis performance but also ensured that the number of sensors and the cost were minimized [55]. Chen addressed the sensor configuration problem of the antilock braking system to ensure that the fault diagnosis needs were met; the ARR was increased through the sensor configuration, which increased the fault diagnosis performance [56]. Chen transformed the problem of diagnosing a system's faults into solving the system's minimum structural overdetermination and generating the system's residuals using the set of the minimum structural overdetermination [57].…”
Section: Sensor Configurationmentioning
confidence: 99%
“…Now, the FMEA process is widely used in many industries. For example, the FMEA process is used in the design and validation of a hydraulic torque converter [5]. Additionally, the diagnosis of the bearing condition using the FMEA process is presented in [6].…”
Section: Introductionmentioning
confidence: 99%