DC-link sensor Fault Detection and isolation for railway traction electric drives

Olmo, Jon del; Garramiola, Fernando; Poza, Javier; Nieva, Txomin; Almandoz, Gaizka; Aldasoro, Leire

doi:10.1109/wemdcd.2017.7947754

Cited by 3 publications

(3 citation statements)

References 19 publications

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“…Similar to previous publications [ 38 , 39 ], the model of the input filter in state space is presented in Equation (1), being

and

is not directly measured, it is calculated from T1, T3, T5 switch states and

and

current sensor measurements.…”

Section: Railway Traction Unit Description and Input Filter Modelmentioning

confidence: 99%

DC-Link Voltage and Catenary Current Sensors Fault Reconstruction for Railway Traction Drives

Garramiola

Poza

Olmo

et al. 2018

Sensors

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Due to the importance of sensors in control strategy and safety, early detection of faults in sensors has become a key point to improve the availability of railway traction drives. The presented sensor fault reconstruction is based on sliding mode observers and equivalent injection signals, and it allows detecting defective sensors and isolating faults. Moreover, the severity of faults is provided. The proposed on-board fault reconstruction has been validated in a hardware-in-the-loop platform, composed of a real-time simulator and a commercial traction control unit for a tram. Low computational resources, robustness to measurement noise, and easiness to tune are the main requirements for industrial acceptance. As railway applications are not safety-critical systems, compared to aerospace applications, a fault evaluation procedure is proposed, since there is enough time to perform diagnostic tasks. This procedure analyses the fault reconstruction in the steady state, delaying the decision-making in some seconds, but minimising false detections.

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“…Similar to previous publications [ 38 , 39 ], the model of the input filter in state space is presented in Equation (1), being

and

is not directly measured, it is calculated from T1, T3, T5 switch states and

and

current sensor measurements.…”

Section: Railway Traction Unit Description and Input Filter Modelmentioning

confidence: 99%

DC-Link Voltage and Catenary Current Sensors Fault Reconstruction for Railway Traction Drives

Garramiola

Poza

Olmo

et al. 2018

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…Similar to previous publications [ 36 ], the model of the input filter in state space is presented in (1), being

and

. The

value is not directly measured, but it is calculated from T1, T3, and T5 switches states and

and

current sensors measurements.…”

Section: Fdi Approach For Dc-link Voltage Sensor and Catenary Currmentioning

confidence: 99%

“…In the following subsection, a FDI approach based on a bank of observers for

and

was proposed [ 36 ], providing analytical redundancy to solve one of the previously mentioned isolation problems. Although the diagnosability analysis has been done for additive fault modes, in the following FDI strategy both fault modes, additive and multiplicative, will be analysed, as offset and gain faults will be injected.…”

Section: Fdi Approach For Dc-link Voltage Sensor and Catenary Currmentioning

confidence: 99%

Integral Sensor Fault Detection and Isolation for Railway Traction Drive

Garramiola

Olmo

Poza

et al. 2018

Sensors

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Due to the increasing importance of reliability and availability of electric traction drives in Railway applications, early detection of faults has become an important key for Railway traction drive manufacturers. Sensor faults are important sources of failures. Among the different fault diagnosis approaches, in this article an integral diagnosis strategy for sensors in traction drives is presented. Such strategy is composed of an observer-based approach for direct current (DC)-link voltage and catenary current sensors, a frequency analysis approach for motor current phase sensors and a hardware redundancy solution for speed sensors. None of them requires any hardware change requirement in the actual traction drive. All the fault detection and isolation approaches have been validated in a Hardware-in-the-loop platform comprising a Real Time Simulator and a commercial Traction Control Unit for a tram. In comparison to safety-critical systems in Aerospace applications, Railway applications do not need instantaneous detection, and the diagnosis is validated in a short time period for reliable decision. Combining the different approaches and existing hardware redundancy, an integral fault diagnosis solution is provided, to detect and isolate faults in all the sensors installed in the traction drive.

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Offline Self-Check Function for DC Voltage Sensor of Three-Level AC Drive Systems Used in Steel Rolling Mills

2020

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DC-link sensor Fault Detection and isolation for railway traction electric drives

Cited by 3 publications

References 19 publications

DC-Link Voltage and Catenary Current Sensors Fault Reconstruction for Railway Traction Drives

DC-Link Voltage and Catenary Current Sensors Fault Reconstruction for Railway Traction Drives

Integral Sensor Fault Detection and Isolation for Railway Traction Drive

Offline Self-Check Function for DC Voltage Sensor of Three-Level AC Drive Systems Used in Steel Rolling Mills

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