PLC Based Monitoring & Protection of 3-Phase Induction Motors against Various Abnormal Conditions

Analog-to-digital converter-based industrial fault indicator system that detects overvoltage and temperature

“…This research presents a novel form of protection that is based on a programmable logic controller (PLC) and has the potential to reduce overall costs, improve accuracy, and create an environment that is both safe and visible. [6] Two sensors, an LPG Gas sensor and a Temperature sensor, are included in an Android-based industrial fault monitoring system. If any of these sensors detects that the threshold has been exceeded, a warning signal is transmitted to an Android mobile device through Bluetooth technology, and a buzzer is activated.…”

Multi-Band Frequency Window for Time-Frequency Fault Diagnosis of Induction Machines

“…A diagnostic technique that has gained a widespread interest in recent years is the motor current signature analysis (MCSA) [23][24][25][26], which is based on the detection of the characteristic fault signatures that each type of fault impresses in the current spectrum. It is a non-invasive method, which can be applied on line without disturbing the normal operation of the machine; it requires, in its more basic implementation, just a current sensor for acquiring the current signal and a fast Fourier transform (FFT) for generating its spectrum; and it can detect a wide variety of machine faults through their spectral signatures, because each type of fault generate a specific set of fault frequencies, as shown in Table 1 [27], where f 1 stands for the fundamental component frequency, p is the number of pole pairs, s is the machine slip, f r is the rotational frequency of the IM rotor, N b is the number of balls of the bearings, D b if the bearing diameter, D c is the pitch or cage diameter and β is the contact angle.…”