Model-based fault-detection and diagnosis – status and applications

Isermann, Rolf

doi:10.1016/j.arcontrol.2004.12.002

Cited by 1,261 publications

(452 citation statements)

References 16 publications

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“…Stator faults include inter-turn short circuit, overheating, insulation faults, and cracks and deformation failure in the core and base, as shown in Table 3 [31,[73][74][75][76][77][78][79][80][81][82][83][84][85][86][87][88][89][90][91][92]. The diagnostic methods for phase-to-phase and turn-to-ground short-circuit faults are similar to inter-turn short-circuit fault diagnosis methods.…”

Section: Fault Diagnosis Of Stators Of Pmsgsmentioning

confidence: 99%

Overview of condition monitoring and operation control of electric power conversion systems in direct-drive wind turbines under faults

Huang

Xiao

et al. 2017

Front. Mech. Eng.

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Electric power conversion system (EPCS), which consists of a generator and power converter, is one of the most important subsystems in a direct-drive wind turbine (DD-WT). However, this component accounts for the most failures (approximately 60% of the total number) in the entire DD-WT system according to statistical data. To improve the reliability of EPCSs and reduce the operation and maintenance cost of DD-WTs, numerous researchers have studied condition monitoring (CM) and fault diagnostics (FD). Numerous CM and FD techniques, which have respective advantages and disadvantages, have emerged. This paper provides an overview of the CM, FD, and operation control of EPCSs in DD-WTs under faults. After introducing the functional principle and structure of EPCS, this survey discusses the common failures in wind generators and power converters; briefly reviewed CM and FD methods and operation control of these generators and power converters under faults; and discussed the grid voltage faults related to EPCSs in DD-WTs. These theories and their related technical concepts are systematically discussed. Finally, predicted development trends are presented. The paper provides a valuable reference for developing service quality evaluation methods and fault operation control systems to achieve high-performance and high-intelligence DD-WTs.

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Section: Fault Diagnosis Of Stators Of Pmsgsmentioning

confidence: 99%

Overview of condition monitoring and operation control of electric power conversion systems in direct-drive wind turbines under faults

Huang

Xiao

et al. 2017

Front. Mech. Eng.

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“…Permanent magnet servomotors are a popular choice to produce the driving force to move robot joints because of their easy operation and high power density and performance (Halme, 2006). In general, servomotors are electromechanical components in which faults can originate for electrical, mechanical and other external reasons.…”

Section: The Robot's Mechanical Construction and Fault Simulationmentioning

confidence: 99%

“…The term fault is generally understood to mean an unpermitted variation of one or more characteristic features of a system away from the normal, reasonable and standard behaviour (Isermann, 2005). However, an unforeseen robot stoppage has the potential to cause an interruption in the entire production line, resulting in economic and production losses.…”

Section: Introductionmentioning

confidence: 99%

Industrial Robot Fault Detection Based on Statistical Control Chart

Jaber

Bicker

2016

American Journal of Engineering and Applied Sciences

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Industrial robots have long been used in production systems in order to improve productivity, quality and safety in automated manufacturing processes. There are significant implications for operator safety in the event of a robot malfunction or failure and an unforeseen robot stoppage due to different reasons has the potential to cause an interruption in the entire production line, resulting in economic and production losses. In this research a fault detection system based on statistical control chart has been designed. An experimental investigation was accomplished using the PUMA 560 robot. Vibration signals are captured from the robot when it executes a repetitive task and then some statistical features are extracted from the signals, by utilising a developed data acquisition system based on National instruments hardware and software. The extracted vibration features, which are related to the robot healthy and faulty states, have subsequently been used for building and testing a statistical control chart. The chart has been validated using part of the measured data set, not used within the design stage, which represents the robot operating conditions. Validation results indicate the successful detection of faults at the early stages using the key extracted parameters.

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“…Another reason, described here, is to diagnose faults in systems or mechatronic items. Based on the indications of other sensors recognized as efficient and relations of mathematical or statistical models, the rational indications investigated sensors are estimated and compared with the indication of the physical sensors [7,14,15]. Virtual sensors can be divided into static -model-based, or dynamic -using Kalman filter [16,18].…”

mentioning

confidence: 99%

Fault diagnostics in air intake system of combustion engine using virtual sensors

Komorska¹,

Wołczyński²,

Borczuch³

2018

Diagnostyka

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The method for the fault diagnosing of the air intake system of a gasoline engine, not detected by the onboard diagnostics system in a car, is described in this article. The aim is to detect and identify such faults like changes in sensor characteristic, faults of mass airflow measurement in the intake manifold or manifold leakages. These faults directly affect the air intake system performance that results in engine roughness and a power decrease. The method is based on the generation of residuals on the grounds of differences in indications of the manifold absolute pressure (MAP) and mass air flow (MAF) sensors installed in the car and the virtual, model-based sensors. The empirical model for the fault-free state was constructed at stationary operations of the engine. The residuals were then evaluated to classify the system health. Investigations were conducted for a conventional gasoline engine with port-fuel injection (PFI) and for a gasoline direct injection engine (GDI).

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Model-based fault-detection and diagnosis – status and applications

Cited by 1,261 publications

References 16 publications

Overview of condition monitoring and operation control of electric power conversion systems in direct-drive wind turbines under faults

Overview of condition monitoring and operation control of electric power conversion systems in direct-drive wind turbines under faults

Industrial Robot Fault Detection Based on Statistical Control Chart

Fault diagnostics in air intake system of combustion engine using virtual sensors

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