Model-Based Fault Detection and Fault-Tolerant Control of SCR Urea Injection Systems

Wang, Yue-Yun; Sun, Yuwen; Chang, Chen-Fang; Hu, Yuping

doi:10.1109/tvt.2015.2463115

Cited by 26 publications

(12 citation statements)

References 14 publications

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“…With increasingly strict emission standards, many scholars have improved fault identification methods of emission technologies [8][9][10]. Liu et al [9] established a simulation model of the diesel engine with wall flow ceramic DPF and diagnosis of the blocking DPF, with an instantaneous exhaust pressure spectrum analysis.…”

Section: Introductionmentioning

confidence: 99%

“…Liu et al [9] established a simulation model of the diesel engine with wall flow ceramic DPF and diagnosis of the blocking DPF, with an instantaneous exhaust pressure spectrum analysis. Wang et al [10] proposed an on-board fault diagnosis and fault-tolerant integrated control method to maintain the NO x conversion performance of the SCR. However, these studies often focus on a single after-treatment technology and use benchmark test data for verification, which has limitations in practical applications.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Fault Detection of Diesel Engine Air and after-Treatment Systems with High-Dimensional Data: A Novel Fault-Relevant Feature Selection Method

Ran

Song

et al. 2021

Processes

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In order to reduce pollutants of the emission from diesel vehicles, complex after-treatment technologies have been proposed, which make the fault detection of diesel engines become increasingly difficult. Thus, this paper proposes a canonical correlation analysis detection method based on fault-relevant variables selected by an elitist genetic algorithm to realize high-dimensional data-driven faults detection of diesel engines. The method proposed establishes a fault detection model by the actual operation data to overcome the limitations of the traditional methods, merely based on benchmark. Moreover, the canonical correlation analysis is used to extract the strong correlation between variables, which constructs the residual vector to realize the fault detection of the diesel engine air and after-treatment system. In particular, the elitist genetic algorithm is used to optimize the fault-relevant variables to reduce detection redundancy, eliminate additional noise interference, and improve the detection rate of the specific fault. The experiments are carried out by implementing the practical state data of a diesel engine, which show the feasibility and efficiency of the proposed approach.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fault Detection of Diesel Engine Air and after-Treatment Systems with High-Dimensional Data: A Novel Fault-Relevant Feature Selection Method

Ran

Song

et al. 2021

Processes

View full text Add to dashboard Cite

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“…Ning et al [13] proposed an enhanced robust Kalman filtering method based on the optimal radial basis function neural network, which reduces the impact of state errors and observation errors on state estimation. Wang et al [14] reduced the influence of estimated noise of on-board fault diagnosis and fault-tolerant control through the Kalman filter and improved the robustness of fault diagnosis. Finally, the method is verified by an onboard prototype control system.…”

Section: Introductionmentioning

confidence: 99%

State-Degradation-Oriented Fault Diagnosis for High-Speed Train Running Gears System

Cheng

Wang

Luo

et al. 2020

Sensors

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As one of the critical components of high-speed trains, the running gears system directly affects the operation performance of the train. This paper proposes a state-degradation-oriented method for fault diagnosis of an actual running gears system based on the Wiener state degradation process and multi-sensor filtering. First of all, for the given measurements of the high-speed train, this paper considers the information acquisition and transfer characteristics of composite sensors, which establish a distributed topology for axle box bearing. Secondly, a distributed filtering is built based on the bilinear system model, and the gain parameters of the filter are designed to minimize the mean square error. For a better presentation of the degradation characteristics in actual operation, this paper constructs an improved nonlinear model. Finally, threshold is determined based on the Chebyshev’s inequality for a reliable fault diagnosis. Open datasets of rotating machinery bearings and the real measurements are utilized in the case studies to demonstrate the effectiveness of the proposed method. Results obtained in this paper are consistent with the actual situation, which validate the proposed methods.

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“…The simulation results indicated that it succeeded in fault detection and isolation with good robustness and sensitivity. Wang et al [19] put forward an integrated on-board diagnosis and fault-tolerant control method for the SCR urea injection system. The methodology was based on the estimation of the injected urea flow by a linear parameter varying (LPV) model, which presented good performances in vehicle tests.…”

Section: Introductionmentioning

confidence: 99%

Model-Based Temperature Sensor Fault Detection and Fault-Tolerant Control of Urea-Selective Catalyst Reduction Control Systems

Wang

Zeng

et al. 2018

Energies

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This paper aims at investigating the fault diagnosis of the selective catalyst reduction (SCR) outlet temperature sensors and fault-tolerant control methods of the SCR system, and three typical faults of downstream temperature sensors were modeled and analyzed to present influences of different faults on the SCR system performances (such as nitrogen oxides (NO x ) emission and conversion efficiency, NH 3 slip, urea dosage and ammonia coverage estimation). A temperature model was established to estimate the SCR outlet temperature, and diagnostics were developed based on the differences between model estimates and sensor measurements. Once a downstream temperature sensor fault was detected, the fault-tolerant control will be enabled, and the output of the sensor may be substituted with the estimates of the model. Thus, SCR performances shall be maintained within the acceptable ranges. Moreover, a 0-D SCR model was also established to validate the capability of diagnostics and fault-tolerant control strategy over the European transient cycle (ETC).

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Model-Based Fault Detection and Fault-Tolerant Control of SCR Urea Injection Systems

Cited by 26 publications

References 14 publications

Fault Detection of Diesel Engine Air and after-Treatment Systems with High-Dimensional Data: A Novel Fault-Relevant Feature Selection Method

Fault Detection of Diesel Engine Air and after-Treatment Systems with High-Dimensional Data: A Novel Fault-Relevant Feature Selection Method

State-Degradation-Oriented Fault Diagnosis for High-Speed Train Running Gears System

Model-Based Temperature Sensor Fault Detection and Fault-Tolerant Control of Urea-Selective Catalyst Reduction Control Systems

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