Implementation of an embedded system for real-time detection of rotor bar failures in induction motors

Improved cyclostationary analysis method based on TKEO and its application on the faults diagnosis of induction motors

“…It defines the nonstationary vibration responses as second-order cyclostationary (CS2) signals and the fault feature is periodically modulated from the perspective of statistical characteristics. For example, vibration signals measured from the rotating machines with mechanical faults, such as broken rotor bar (BRB) [20], gear wear [21], bearing failure [22], and cavitation fault [23], present a high level of cyclostationarity that can indicate the operating conditions of the rotating machinery. This makes cyclostationary analysis become a preferred tool for the feature extraction and fault diagnosis of mechanical systems based on vibration signature.…”

“…This gives the reason why the TKEO method can strengthen the fault feature. Further, the frequency-domain TKEO of the discrete complex signal 𝑋[𝑛] is given as shown in Eq (20),. in which 𝑋 * [𝑛] presents the complex conjugate of 𝑋[𝑛].…”

Locally optimized chirplet spectrogram for condition monitoring of induction machines in transient regime

“…Different condition based maintenance systems (CBMS) for IMs have been described in the technical literature [8], based on vibrations [9], sound analysis [10,11], thermal signals [12], etc. Among them, motor current signature analysis (MCSA) [13,14,15,16] has gained an increasing interest, because it can operate on-line, detecting different and possibly simultaneous types of fault, and can be implemented using non-invasive [17] low-cost current sensors, and fast processing algorithms, especially the fast Fourier transform (FFT). MCSA is based on the detection of a set of harmonic components generated by each type fault, whose frequencies constitute a unique fault signature [18].…”

Closed-Loop Drive Detection and Diagnosis of Multiple Combined Faults in Induction Motor Through Model-Based and Neuro-Fuzzy Network Techniques

“…The use of this machine in several industrial applications can be affected by potential defects; mechanical origin (rolling bearing wear, eccentricity of the shaft ...), electrical or magnetic (stator inter-turn short circuit, broken rotor bars ...), and supply (network or converter) [6][7][8]. Furthermore, the static air-gap eccentricity and broken rotor bars faults are the most important causes of faults in IMs, which lead to produce oscillation in the rotor speed and mechanical vibrations causing damage in IM.…”