Induction motors are becoming familiar these days and is being employed in most of the industrial processes. This “Analyzing And Detection Of Rotor Faults In Squirrel Cage Induction Motor Drives Using Matlab” presents a simulation of detecting the rotor faults such as broken rotor bars or end rings in squirrel cage induction motor drives. It enables detection of those faults, which may arise du...

For this representation to capture all of the categories mentioned above sometimes requires the use of auxiliary state. For example, consider the fault by which the wire is stuck-at-low-voltage. In this case, the correct behavior of the wire is represented by using an auxiliary boolean variable broken and the program action: out != in ∧ ¬broken → out := in . If a fault occurs, the incorrect beh...

The induction motor (IM) is considered to be one of the most important types motors used in industries. A sudden failure this machine can lead unwanted downtime, with consequences costs, product quality, and safety. Over last decade, several methods techniques have been proposed diagnose detect faults machines. In paper, we present development a new algorithm based on combination both Park’s ve...

The requisite of direct-on-line (DOL) starting for various applications in underground mines subjects the rotor bars heavy-duty squirrel cage induction motors (SCIMs) to severe stresses, resulting sustained fault bars, unlike where mostly reduced voltage is preferred. Furthermore, SCIMs working are also affected by unforeseen frequency fluctuations. Hence, paper proposes a discrete wavelet tran...

Induction motors are a critical component of many industrial processes and are frequently integrated in commercially available equipment and industrial processes. The studies of induction motor behavior during abnormal conditions, and the possibility to diagnose different types of faults have been a challenging topic for many electrical machine researchers. The Motor Current Signature Analysis ...

A new algorithm is proposed in order to detect and quantify partially broken bars induction motors during start-up without load. In the qualification process, no threshold used. It uses principle of harmonic generated by bar stator current, it should vary with slip confirm failure provide more security diagnosis. severity index also proposed, based on maximum peaks Teager energy operator Gaussi...

To ensure the profitability of wind industry, one most important objectives is to minimize maintenance costs. For this reason, components turbines are continuously monitored detect any type failure by analyzing signals measured sensors included in condition monitoring system. Most proposals for detection and diagnosis faults based on signal processing artificial intelligence models use a fault-...

Induction machine health monitoring is considered a developing technology for the online detection of faults that occur even at initial stage. The objective this study to present an artificial intelligence (AI) technique and localization adjacent distant broken bar in induction machine, through multi-winding model simulation these cases. In work, it was found application Artificial Neural Netwo...