A Sensor Fault Detection and Isolation Method in Interior Permanent-Magnet Synchronous Motor Drives Based on an Extended Kalman Filter

Foo, Gilbert; Zhang, Xinan; Vilathgamuwa, D.M.

doi:10.1109/tie.2013.2244537

Cited by 312 publications

(106 citation statements)

References 18 publications

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“…Note that the faults in (12) are examples of how a fault in the electric machine and power electronics can be represented in the model. However, the selected faults are important to monitor since they affect the delivered torque from the electric machine, as can be seen by combining (5) and (6) for the analytical model…”

Section: Combining Map With Analytical Fault Modelsmentioning

confidence: 99%

“…There are data driven diagnostic approaches available [2], [3], but model based approaches [4] are typically preferred in the automotive industry. Examples of such methods from the artificial intelligence field is consistency based diagnosis [5], [6], [7], and from the control community there are techniques like parity equations [8], variable elimination [9], parameter estimation [10], stateobservers [11], [12], and residual generators [13].…”

Section: Introductionmentioning

confidence: 99%

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Diagnostic Method Combining the Lookup Tables and Fault Models Applied on a Hybrid Electric Vehicle

Sundström

Frisk

Nielsen

2016

IEEE Trans. Contr. Syst. Technol.

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Abstract-A common situation in industry is to store measurements for different operating points in look-up tables, often called maps. They are used in many tasks, e.g. in control and estimation, and therefore considerable investments in engineering time are spent in measuring them which usually make them accurate descriptions of the fault free system. They are thus well suited for fault detection, but, however, such a model can not give fault isolation since only the fault free behavior is modeled. One way to handle this situation would be to also map all fault cases but that would require measurements for all faulty cases, which would be costly if at all possible. Instead, the main contribution here is a method to combine the look-up model with analytical fault models. This makes good use of all modeling efforts of the look-up model for the fault free case, and combines it with fault models with reasonable modeling and calibration efforts, thus decreasing the engineering effort in the diagnosis design. The approach is exemplified by designing a diagnosis system monitoring the power electronics and the electric machine in a hybrid electric vehicle. An extensive simulation study clearly shows that the approach achieves both good fault detectability and isolability performance. A main point is that this is achieved without the need for neither measurements of a faulty system nor detailed physical modeling, thus saving considerable amounts of development time.

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Section: Combining Map With Analytical Fault Modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Diagnostic Method Combining the Lookup Tables and Fault Models Applied on a Hybrid Electric Vehicle

Sundström

Frisk

Nielsen

2016

IEEE Trans. Contr. Syst. Technol.

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show abstract

“…There exists abundant researches for inverter sensor FDD over the past several decades [2,4,[6][7][8][9]. All of them can be mainly classified into two general categories, including model-based methods and knowledge-based methods.…”

Section: Introductionmentioning

confidence: 99%

“…For the model-based FDD methods, they are mainly to build the mathematical model of electrical traction systems via outputs or work mechanisms of being monitored system. Usually, a residual is to generate the fault indicating by available input and output information from sensors of inverter [4,6,9,10]. In addition, the knowledge-based methods [2,8] mainly depend on prior knowledge of inverter whose characteristics are to be summarized to distinguish or diagnose the faults.…”

Section: Introductionmentioning

confidence: 99%

Data‐Driven Incipient Sensor Fault Estimation with Application in Inverter of High‐Speed Railway

Chen

Jiang

2017

Mathematical Problems in Engineering

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Incipient faults in high-speed railway have been rarely considered before developing into faults or failures. In this paper, a new data-driven incipient fault estimate (FE) methodology is proposed under multivariate statistics frame, which incorporates with Kullback-Leibler divergence (KLD) in information domain and neural network approximation in machine learning. By defining one sensitive fault indicator (SFI), the incipient fault amplitude can be precisely estimated. According to the experimental platform of China Railway High-speed 2 (CRH2), the proposed incipient FE algorithm is examined, and the more sensitivity and accuracy to tiny abnormality are demonstrated. Followed by the incipient FE results, several factors on FE performance are further analyzed.

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“…In the conventional research of fault detection and diagnosis technology, one kind of fault diagnosis method based on Kalman filter was proposed against sensor failures [4]. This method can effectively detect the sensor fault.…”

Section: Introductionmentioning

confidence: 99%

Research of Sensor Fault-Tolerant Control Based on Analytical Reconstruction Model for Electronic Brake Pedal Simulator

Xu¹,

Xu²,

Yu³

2015

IJMO

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Abstract-Electronic brake pedal simulator is the core component of pure electric vehicle braking system, affecting braking and safety performances directly. In this paper, a mathematical model of the electronic brake pedal simulator is established according to the physical structure and motion characteristics of that. A sensor fault diagnosis method based on particle filter algorithm is proposed for the angular displacement sensor and pedal force sensor in electronic brake pedal simulator. And an adaptive fault-tolerant control architecture model is established by applying the mathematical model of the electronic brake pedal simulator and the sensor fault diagnosis model. The SW/HW simulation results show that the fault diagnosis and adaptive fault-tolerant control method can accurately detect sensor faults. In a sensor failure, the adaptive fault-tolerant control architecture model estimates the sensor output value in the normal state, which makes electronic brake pedal emulator can still operate normally, so as to further improve the reliability of electronic brake pedal simulator.Index Terms-Electronic brake pedal simulator, sensor fault, particle filter, adaptive fault-tolerant control.

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A Sensor Fault Detection and Isolation Method in Interior Permanent-Magnet Synchronous Motor Drives Based on an Extended Kalman Filter

Cited by 312 publications

References 18 publications

Diagnostic Method Combining the Lookup Tables and Fault Models Applied on a Hybrid Electric Vehicle

Diagnostic Method Combining the Lookup Tables and Fault Models Applied on a Hybrid Electric Vehicle

Data‐Driven Incipient Sensor Fault Estimation with Application in Inverter of High‐Speed Railway

Research of Sensor Fault-Tolerant Control Based on Analytical Reconstruction Model for Electronic Brake Pedal Simulator

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