A method for sensorless on-line vibration monitoring of induction machines

Riley, C.M.; Lin, B.K.; Habetler, T.G.; Schoen, R.R.

doi:10.1109/ias.1997.643028

Cited by 45 publications

(15 citation statements)

References 6 publications

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“…It is an energy transformer designed to sense (in the sense of discovering) some of the characteristics of its surroundings [17]. It is used to detect the parameter in one form of energy, and to report it in a certain amount of material.…”

Section: Sensormentioning

confidence: 99%

Monitoring and Controlling Electric Power Stations Using GSM Network

Ismail

Mubdir

Majeed

et al. 2019

KJAR

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This paper introduces a system design for monitoring and controls the components of power generation station and substation with help of existing communication link based on GSM network. In this design, a selected Programmable Logic Controller (PLC) connected to the fields that needed to be monitored and continuously read changes in measurements of electrical parameters like voltage, current, bus bar circuit breakers…..etc.. These parameters have been monitored by PLC, on the base of conditions that PLC is programmed. PLC generates a text message and forward to other side; control center or mobile phone of engineer and technicians; who are responsible of monitoring. At control center, another GSM modem which has capability to connect with personal computer, receives that text massage using SMS and executes it. Software written with Vb.Net, works as Human Machine Interface (HMI) for this purpose. The system performance is acceptable in terms of errors in readings and time delay. The percentage error for the current is about 1%, and for the voltage is about 0.2%. The delivery time to receive new analog and digital inputs data is about 14.125 seconds, while the control of the circuit done after 4.68 seconds.

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Section: Sensormentioning

confidence: 99%

Monitoring and Controlling Electric Power Stations Using GSM Network

Ismail

Mubdir

Majeed

et al. 2019

KJAR

View full text Add to dashboard Cite

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“…No obstante con el análisis integrado del espectro y de la forma de la onda de la vibración es posible detectar defectos en rodamientos de máquinas de baja velocidad. Varios ejemplos de desarrollo de esta técnica [4] [25] [26] presentan un diagnostico para una excentricidad en el entrehierro, barras rotas y fallas en los rodamientos. Sin embargo, estos estudios no consideran los aportes al nivel de ruido y vibraciones que factores externos pueden generar.…”

Section: Monitoreo De Ruido Y Vibracionesunclassified

Revisión bibliográfica: Implementación del vector de park para la detección de fallas en máquinas rotativas

Angel

Didier

Leonardo

2012

2012 IEEE 4th Colombian Workshop on Circuits and Systems (CWCAS)

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Resumen-En este artículo presentamos una revisión bibliográfica de las técnicas de detección de fallas en el estator en motores de inducción trifásicos mediante el uso del vector espacial. Nos enfocamos en estas técnicas debido a que nos permiten verificar la magnitud de la falla y su tipo según el procedimiento y la técnica utilizada, a demás que hacen posible diagnosticar el estado de un motor sin el agravante de tener que sacarlo de servicio. Nos interesamos especialmente en los avances que, en la última década, usan la representación gráfica del vector y sus características geométricas para detectar la falla y ponderar su gravedad.Palabras clave -Vector espacial, procesamiento de imágenes, MCSA, Motor de inducción, distorsión armónica.Abstract-In this paper we present a literature review, techniques for fault detection in induction motor stator on threephase using the spatial vector. We focus on these techniques because it allows to verify the extent of the failure and its class, with the advantage of using non-invasive techniques that allow us to check the status of an engine without the aggravation of having to take out it of service.We especially like that the progress in the last decade, using the technique of Park's vector and the geometric characteristics of the vector for detect the fault and size of the fault.

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“…Most recent research has investigated the fault detection technique primarily based on the Motor Current Signature Analysis (MCSA) [4]- [5] with various DSP and signal processing techniques [6]. Although the fault detection by means of analysis of the current is quite simple, the main drawback is that the employed technique is only suitable for steady state operation.…”

Section: Introductionmentioning

confidence: 99%

Wireless health monitoring system for vibration detection of induction motors

Korkua

Jain

Lee

et al. 2010

2010 IEEE Industrial and Commercial Power Systems Technical Conference - Conference Record

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To avoid unexpected equipment failures and obtain higher accuracy in diagnostic for the predictive maintenance of induction motors, on-line health monitoring system plays an important role to improve the system reliability and availability. Among different techniques of fault detection, work on motor current signature analysis by using only stator current spectra has been well documented. In addition, the recent developments in MEMS technology shows increasing trend in integrating vibration analysis for fault diagnostic. Vibration-based detection by using the accelerometer is gaining popularity due to high reliability, low power consumption, and low cost. This paper presents the study of vibration due to the rotor imbalance. The technique of vibration detection and observation of vibration signal in the 3-phase induction machine is studied. A novel health monitoring system of electric machine based on wireless sensor network (ZigBee™/IEEE802.15.4 Standard) is proposed and developed in this paper. Experimental results of the proposed severity detection technique of rotor vibration under different levels of imbalance conditions are investigated and discussed.

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A method for sensorless on-line vibration monitoring of induction machines

Cited by 45 publications

References 6 publications

Monitoring and Controlling Electric Power Stations Using GSM Network

Monitoring and Controlling Electric Power Stations Using GSM Network

Revisión bibliográfica: Implementación del vector de park para la detección de fallas en máquinas rotativas

Wireless health monitoring system for vibration detection of induction motors

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A method for sensorless on-line vibration monitoring of induction machines

Cited by 45 publications

References 6 publications

Monitoring and Controlling Electric Power Stations Using GSM Network

Monitoring and Controlling Electric Power Stations Using GSM Network

Revisi&#x00F3;n bibliogr&#x00E1;fica: Implementaci&#x00F3;n del vector de park para la detecci&#x00F3;n de fallas en m&#x00E1;quinas rotativas

Wireless health monitoring system for vibration detection of induction motors

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Revisión bibliográfica: Implementación del vector de park para la detección de fallas en máquinas rotativas