The presence of electrical and mechanical faults in the induction motors (IMs) can be detected by analysis stator current spectrum. However, when an IM is fed a frequency converter, spectral signal becomes difficult. For this reason, monitoring must depend on multiple signatures order to reduce effect harmonic disturbance motor-phase current. aim paper description new approach for fault detection diagnosis IMs using signal-based method. It based processing unsupervised classification...

Prognostics and health management (PHM) play a key role in increasing the reliability safety of systems especially sectors (military, aeronautical, aerospace, nuclear, etc.). This paper presents new methodology which combines data-driven experience-based approaches for PHM roller bearings. The proposed uses time domain features extracted from vibration signals as indicators. degradation states bearings are detected by an unsupervised classification technique called artificial ant clustering....

This paper describes experimental results aiming at analyzing lithiumion batteries performances with aging, for different state of charge and temperatures. The are provided from electrochemical impedance spectroscopy (EIS) measurements on new aged cells. A climatic test chamber is used during experiments to simulate the conditions temperature. Experimental data plotted over a broad spectrum frequencies Nyquist diagrams. We will also inspect impact presence DC current EIS measurement....

The stray flux that is present in the vicinity of an induction motor a very interesting information source to detect several types failures these machines. analysis this quantity can be employed, some cases, as supportive tool complement diagnosis provided by other quantities. In when no quantities are available, become one few alternatives evaluate condition. Its noninvasive nature, low cost, and easy implementation makes it option requires further investigation. aim work suitability under...

The major drawback of usual dual-stator ac machines, when supplied by a voltage-source inverter (VSI), is the occurrence extra harmonic currents. These currents circulate only in stator windings and cause additional losses. This paper deals with modeling design winding machines for safe operation VSI. A new reference frame model induction machine (DSIM), including mutual leakage coupling, proposed. allows us to highlight previously mentioned circulating inductance associated these harmonics...

Induction motors play a very important part in the safe and efficient running of any industrial plant. Early detection abnormalities motor would help to avoid costly breakdowns. Accordingly, this work presents technique for diagnosis broken rotor bars induction motor. Stator voltage current an were measured employed computation input power one stator phase. Waveforms instantaneous line subsequently analyzed using Bartlett periodogram. Different global fault indexes on spectrum are evaluated....

The aim of this paper is to analyze theoretically and experimentally the stator current a three-phase squirrel-cage induction machine in order show how it influenced by electrical rotor faults. approach used for study analyzes modification introduced n broken bars cage magnetomotive force then estimates resulting frequency spectrum current. This validated 3-kW 230-V/400-V 50-Hz 2850-r/min two-pole machine, showing sensitive components fault condition.

This paper compares the prediction of two independent methods for calculating electromagnetic torque and inductances a synchronous reluctance machine under linear condition. One method is based on winding function analysis (WFA) other finite-element (FEA). Both take into account rotor geometry, stator slot effects connections. The simulation results obtained by WFA are compared with ones two-dimensional FEA. It shown that give approximately same but require different computation times.

Despite their great improvements, reliability and availability of power electronic devices always remain a focus. In safety-critical equipment, where the occurrence faults can generate catastrophic losses, health monitoring most critical components is absolutely needed to avoid prevent breakdowns. this paper, noninvasive method proposed. It based on fuzzy logic neural network estimate predict equivalent series resistance (ESR) capacitance (C) capacitors supercapacitors (SCs). This method,...

Reliability and safety are two important concepts in industrial applications. Thus, the development of monitoring tools, which able to ensure continuity service by predicting faults, should improve competitiveness. This paper presents probabilistic methods based on hidden Markov models (HMMs) for prediction impending faults. shows that a faults is not limited estimation remaining useful life but also extended risk an imminent appearance future. The first method consists modeling degradation...

Over recent decades, the detection of faults in induction motors (IMs) has been mainly focused cage due to their extensive use. However, years, wound-rotor have received special attention because broad use as generators wind turbine units, well some large power applications industrial plants. Some classical approaches perform certain based on fast Fourier transform analysis steady state current (motor signature analysis); they lately complemented with new transient time-frequency-based...

In the induction motor predictive maintenance area, there is a continuous search for new techniques and methods that can provide additional information more reliable determination of condition. this context, analysis stray flux has drawn interest many researchers. The simplicity, low cost potential technique makes it attractive complementing diagnosis provided by other well-established methods. More specifically, study quantity under starting been recently proposed as valuable tool certain...

To point out the effects of eccentricity within a dual-stator winding induction machine, one needs to detect high frequency corresponding interaction both and slotting effects. In this paper, model kind whose rotor is mixed-eccentric, has been suggested. One considers This machine two sets stator three-phase windings electrically shifted by an angle alpha. will be used analyze impact defect on machine. It seen that analytical expression inductances can directly exploited predict...

This paper deals with the diagnostic of signature rotor broken bars when an induction machine is fed or not by unbalanced line voltage. These signatures are given complex spectrum modulus current. In order to make diagnostic, a genetic algorithm used keep amplitude all faulty lines. Moreover, fuzzy logic approach allows us conclude load level operating system and inform operator fault severity. Several experimental results prove performance this method under various levels severities....

This paper presents an analytical approach to shed light on the necessary relationships required for presence of induction motor diagnosis signatures in line neutral voltage (the taking place between supply and stator neutrals). Special attention is focused effect both space distribution rotor bars dissymmetry mechanism generation with consideration unbalance speed ripples. Generalized new formulas are proposed, where we can draw a conclusion state machine. Simulation experimental results...

This paper presents a methodology used to assess the State of Health (SOH) lithium-ion batteries. can be readily embedded in all battery management devices including electronics for electric vehicles. The smart estimation method is based on Fuzzy Logic System (FLS) and two calculated battery's parameters. Therefore it enhances SOH value primarily both calendar cycling life. FLS constructed by using only temperature absolute current that sustains. Finally, through experiments, obtained...

It has been reported in the past that, non-adjacent broken rotor bars three-phase induction motors can influence diagnostic ability of line current frequency spectrum. In this paper, traditional and zero-sequence bar fault signatures are studied for different configurations. More specifically, cases to be investigated healthy, one bar, two adjacent bars. The results shown paper lead conclusion that presents several advantages compared current-based method. This especially useful industrial...

Prognostics and Health Management (commonly called PHM) is a field that focuses on the degradation mechanisms of systems in order to estimate their health status, anticipate failure optimize maintenance. PHM uses methods, tools algorithms for monitoring, anomaly detection, cause diagnosis, prognosis remaining useful life (RUL) maintenance optimization. It allows permanently monitoring system provides operators managers with relevant information decide actions be taken maintain optimal...

This paper deals with a comparison between different structures of double-star induction motors (DSIMs), controlled by space vector PWM. The modelling the DSIM is made using an arbitrary shift angle two three-phase windings. A new transformation matrix proposed to develop suitable dynamic model and elaborate PWM control strategy for values this angle. Simulation results are presented compared. effects on performances, complexity calculating strategy, pointed out.

Accurate fault detection and diagnosis in complex systems is necessary for economic security reasons. In this paper, we present a novel approach based on Hidden Markov Models. This uses pattern recognition combining motor current signature analysis multiple features extracted from transformations made voltage signals order to build the representation space. If space well chosen, each operating mode can be represented as class. A hidden model then designed class used classifier of faults. The...

This paper deals with open and short-circuit switch faults in a three-level inverter feeding three-phsse induction motor. It also investigates the fault compensation via topologies that are able to maintain system operation for period of time. Simulated experimental results verify feasibility proposed strategies.