VPSO-SVM-Based Open-Circuit Faults Diagnosis of Five-Phase Marine Current Generator Sets

Abstract

Generating electricity from enormous energy contained in oceans is an important means to develop and utilize marine sustainable energy. An offshore marine current generator set (MCGS) is a system that runs in seas to produce electricity from tremendous energy in tidal streams. MCGSs operate in oceanic environments with high humidity, saline-alkali water, and impacts of marine organisms and waves, and consequently malfunctions can happen along with the need for expensive inspection and maintenance. In order to achieve effective fault diagnosis of MCGSs in events of failure, this paper focuses on fault detection and diagnosis (FDD) of MCGSs based on five-phase permanent magnet synchronous generators (FP-PMSGs) with the third harmonic windings (THWs). Firstly, mathematical models were built for a hydraulic turbine and the FP-PMSG with THWs; then, a fault detection method based on empirical mode decomposition (EMD) and Hilbert transform (HT) was studied to detect different open-circuit faults (OCFs) of the generator; afterwards, a variable-parameter particle swarm optimization (VPSO) was designed to optimize the penalty and kernel function parameters of a support vector machine (SVM), which was named the VPSO-SVM method in this paper and used to perform fault diagnosis of the FP-PMSG. Finally, simulation blocks were built with MATLAB/Simulink to realize the mathematical models of the MCGS, and the proposed FDD method was coded with MATLAB. The effectiveness of the proposed VPSO-SVM method was validated by simulation results analysis and comparisons.

A Comprehensive Survey on Fault Tolerance in Multiphase AC Drives, Part 2: Phase and Switch Open-Circuit Faults

“…Concerning KB methods for OC-fault detection [45][46][47]66], significant complexity and high implementation effort are commonly necessary. For this reason, the requirement R3 is not usually achieved when a KB strategy is selected for diagnosis (see Table 2).…”

“…Furthermore, if the OC situation emerges as a consequence of the detection and tolerant procedure of other faults (see Figure 1), as discussed in Part 1, then the diagnosis of the OC is not necessary either. Nonetheless, tolerance to OCs based on OC-fault diagnosis and adequate reconfiguration is still common in current multiphase drives, as shown by the fact that most of these detection methods were proposed during the last five years [15,18,[44][45][46][47][50][51][52][54][55][56][57][58][59][60][61][62][71][72][73][74][75].…”

“…The main characteristics of the existing detection approaches for phase/switch OC faults in multiphase drives are summarized in Table 2. From this table, it can be observed that some MB [43][44][45][46][63][64][65] and KB [45][46][47]66] solutions for OC identification are available, even though SB ones [15,18,44,[48][49][50][51][52][53][54][55][56][57][58][59][60][61][62]65,[67][68][69][70][71][72][73][74][75] are the most popular by far.…”

A Comprehensive Survey on Fault Tolerance in Multiphase AC Drives, Part 1: General Overview Considering Multiple Fault Types

“…A different method for diagnosing current sensor faults is presented by Yao et al in [57], for five-phase PMSMs. It is based on monitoring the d 1 current an applying empirical mode decomposition, Hilbert transform, variable-parameter particle swarm optimization and support vector machine.…”

Imbalance Fault Classification Based on VMD Denoising and S-LDA for Variable-Speed Marine Current Turbine

“…In [28], the frequency of stator current is estimated based on a modified version of multiple signal classification (MUSIC). In [29][30][31], the Hilbert transform (HT) is applied to demodulate electrical signals. In [30], the instantaneous frequency of the voltage signal is obtained by the Hilbert transform, and the angular frequency and complex phasors are obtained by the maximum likelihood estimator in [31].…”