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In view of the fact that the integration of ICs is becoming higher and accessible testing nodes are getting less, circuit testing is becoming more and more difficult. A multidimensional feature fault diagnosis method based on principal component analysis is proposed in this paper. On the basis of analyzing the fault feature of analog circuits, the fault diagnosis method of multiple fault features...
Confusion of frequency spectrum under varying speed condition leads to the efficacy degradation of fault recognition for rolling element bearings. Meanwhile, a widely-used method is transforming non-stationary vibration signals into angular domain based on angular re-sampling to reduce influence of speed fluctuation. However, single domain usually cannot describe health information comprehensively...
This paper presents a diagnosis method for open-transistor faults in voltage-source inverter (VSI) based on output phase voltages. When fault occurs, the faulty phase voltage will vanish during certain half periods, which can be utilized for diagnosing. In order to reduce calculation and improve noise resistance, the sliding-window counting method with first-in-first-out algorithm are introduced to...
It is quite important to detect stator short-circuit fault, which is the most common fault type, at incipient stage. It is possible to carry out fault detection using Motor Current Signature Analysis (MCSA) method. In this study, stator current and voltage space vectors of PMSMs were analyzed with MCSA under various load torque, speed and fault percentages conditions. The Negative & positive harmonics...
Automatic fault diagnosis is an inseparable part of today's electromechanical systems. Advanced signal processing and machine learning techniques are required to address variabilities and uncertainties associated with the monitoring signals. In this paper, deep neural networks are employed to diagnose five classes of gearbox faults applied to three common monitoring signals, i.e. vibration, acoustic...
Belt-pulley systems are widespread in the industry due to their high efficiency and their low cost. However, there are only few works about the monitoring of their degradation. This paper deals with belt looseness detection. It presents an innovative method based on the application of a square-wave speed reference in order to monitor belt looseness. A statistical-based indicator is computed from the...
A simple and efficient fault detection and parameter monitoring algorithm for electro-hydraulic power steering (EHPS) system is proposed using model reference adaptive system (MRAS) without any additional sensor. In a faulty situation where the hydraulic system is disabled, assisted power is provided by an electric motor. Therefore, in low speed maneuvers, during sudden direction changes and parking,...
This paper deals with a simple, robust and real-time technique for single and simultaneous insulated gate bipolar transistor (IGBT) open circuit fault diagnostic in sensorless vector controlled induction motor (IM) drives. A full sliding mode observer (SMO) is used for speed, flux and stator currents estimation and simultaneously open switch fault diagnostic. The proposed open switch fault detection...
Modular multilevel converter (MMC) is a promising converter in medium and high voltage applications due to its modularity and easiness to meet any voltage level by cascading the sub-modules. However, large amount of modules not only increase the failure probability of the devices, but also increase the difficulty of the fault diagnosis, which have brought a challenging for popularization and application...
This paper deals with the stator winding faults monitoring in the vector controlled induction motor drives. Two control methods were taken for analysis, namely the direct field oriented control - DFOC and the direct torque control - DTC. In both control structures the induction motor is supplied form two-level voltage inverter with space vector modulation (SVM). In order to detect the early stage...
In order to detect open-circuit fault in rectifier stage, a fault diagnosis method applied to indirect matrix converter (IMC) is proposed in this paper. Firstly, the theory and feature of space vector modulation (SVM) are introduced. Then, detailed circuit analysis of IMC under fault condition is fully studied, and from the view of energy transfer, the influence of open-circuit fault on output voltage...
In this paper, an accurate method is proposed to detect static eccentricity (SE) in induction motors under unbalanced supply voltages. To accomplish this task, one important problem is dealt with: in stator current spectrum of induction machines, the frequency components characteristic of unbalanced supply voltages are similar to some of the frequency components caused by SE. In this direction, the...
The use of soft-starters has proliferated in industrial induction motors to damp the negative effects of high-starting currents, among other reasons. Despite the fact that soft-starters reduce the probability of rotor damage, some industrial cases of rotor failures in soft-started motors have been reported. Over recent years, a novel diagnosis trend based on the analysis of the motor startup current...
Mechanical faults amount to a significant occurrence rate in industrial induction motors. Typically, vibration data analysis has been employed for the detection of this type of failures. However, this technique has some drawbacks (need of sensor installation, difficult discrimination between certain faults, etc…) that may make the application of follow-up diagnostic techniques advisable. In this context,...
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