Smart Sensor for Online Detection of Multiple-Combined Faults in VSD-Fed Induction Motors

Garcia-Ramirez, A. G.; Osornio-Ríos, Roque Alfredo; Granados-Lieberman, David; García-Pérez, Arturo; Romero-Troncoso, René de Jesús

doi:10.3390/s120911989

Cited by 26 publications

(11 citation statements)

References 51 publications

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“…2) Home gateway communication system: Home gateway communication system utilizes exclusive custom protocol which can not be compatible with third party system and makes it difficult to upgrade [8]. The system hopes to maintain open and universal in its application and integrates elements of Jingle protocol used in social network.…”

Section: G Content Of Innovation Technology 1) Combination Of Radio mentioning

confidence: 99%

Promote the industry standard of smart home in China by intelligent router technology

Lin¹,

Ji²,

Wang³

et al. 2015

2015 Science and Information Conference (SAI)

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The reason why smart home remains not popularized lies in bad product user experience, purchasing cost, and compatibility, and a lack of industry standard[1]. Echoing problems above, and having relentless devoted to software and hardware innovation and practice, we have independently developed a set of solution which is based on innovation and integration of router technology, mobile Internet technology, Internet of things technology, communication technology, digital-to-analog conversion and codec technology, and P2P technology among others. We have also established relevant protocols (without the application of protocols abroad). By doing this, we managed to establish a system with low and moderate price, superior performance, all-inclusive functions, easy installation, convenient portability, real-time reliability, security encryption, and the capability to manage home furnitures in an intelligent way. Only a new smart home system like this can inject new idea and energy into smart home industry and thus vigorously promote the establishment of smart home industry standard.

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Section: G Content Of Innovation Technology 1) Combination Of Radio mentioning

confidence: 99%

Promote the industry standard of smart home in China by intelligent router technology

Lin¹,

Ji²,

Wang³

et al. 2015

2015 Science and Information Conference (SAI)

View full text Add to dashboard Cite

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“…Several generic sensor interface circuits have been introduced for these applications and these circuits support an extensive variety of sensors at the cost of hardware efficiency [28–31]. However, they do not provide the signal processing capabilities necessary to decentralize network workloads or provide an embedded sensor calibration hardware function.…”

Section: Methodsmentioning

confidence: 99%

A Fully Integrated Sensor SoC with Digital Calibration Hardware and Wireless Transceiver at 2.4 GHz

Kim

Jang

Hwang

2013

Sensors

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A single-chip sensor system-on-a-chip (SoC) that implements radio for 2.4 GHz, complete digital baseband physical layer (PHY), 10-bit sigma-delta analog-to-digital converter and dedicated sensor calibration hardware for industrial sensing systems has been proposed and integrated in a 0.18-μm CMOS technology. The transceiver's building block includes a low-noise amplifier, mixer, channel filter, receiver signal-strength indicator, frequency synthesizer, voltage-controlled oscillator, and power amplifier. In addition, the digital building block consists of offset quadrature phase-shift keying (OQPSK) modulation, demodulation, carrier frequency offset compensation, auto-gain control, digital MAC function, sensor calibration hardware and embedded 8-bit microcontroller. The digital MAC function supports cyclic redundancy check (CRC), inter-symbol timing check, MAC frame control, and automatic retransmission. The embedded sensor signal processing block consists of calibration coefficient calculator, sensing data calibration mapper and sigma-delta analog-to-digital converter with digital decimation filter. The sensitivity of the overall receiver and the error vector magnitude (EVM) of the overall transmitter are −99 dBm and 18.14%, respectively. The proposed calibration scheme has a reduction of errors by about 45.4% compared with the improved progressive polynomial calibration (PPC) method and the maximum current consumption of the SoC is 16 mA.

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“…With that, there has been a remarkable trend to combine/modify and improve these techniques with new sensor technologies in order to provide a portable system able to perform on-site diagnosis; in this way, so-called smart-sensors are appearing, where the information captured by one or more primary sensors is processed in a main processing unit that complies with certain functionalities like processing, communication, and integration. Smart-sensors have been used for different applications such as the identification of broken rotor bars and unbalance in induction motors using current signals [27,28], real-time high-resolution frequency measurement [29], and monitoring and diagnosis of faults in distinct industrial applications [30,31], among others. Evidently, it is highly desirable to automatically diagnose induction motor faults through innovative methodologies using the information provided by physical magnitudes highly related to the fault.…”

Section: Introductionmentioning

confidence: 99%

Smart-Sensor for the Automatic Detection of Electromechanical Faults in Induction Motors Based on the Transient Stray Flux Analysis

Zamudio-Ramírez

Osornio-Ríos

Antonino-Daviu

et al. 2020

Sensors

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Induction motors are essential and widely used components in many industrial processes. Although these machines are very robust, they are prone to fail. Nowadays, it is a paramount task to obtain a reliable and accurate diagnosis of the electric motor health, so that a subsequent reduction of the required time and repairing costs can be achieved. The most common approaches to accomplish this task are based on the analysis of currents, which has some well-known drawbacks that may lead to false diagnosis. With the new developments in the technology of the sensors and signal processing field, the possibility of combining the information obtained from the analysis of different magnitudes should be explored, in order to achieve more reliable diagnostic conclusions, before the fault can develop into an irreversible damage. This paper proposes a smart-sensor that explores the weighted analysis of the axial, radial, and combination of both stray fluxes captured by a low-cost, easy setup, non-invasive, and compact triaxial stray flux sensor during the start-up transient through the short time Fourier transform (STFT) and characterizes specific patterns appearing on them using statistical parameters that feed a feature reduction linear discriminant analysis (LDA) and then a feed-forward neural network (FFNN) for classification purposes, opening the possibility of offering an on-site automatic fault diagnosis scheme. The obtained results show that the proposed smart-sensor is efficient for monitoring and diagnosing early induction motor electromechanical faults. This is validated with a laboratory induction motor test bench for individual and combined broken rotor bars and misalignment faults.

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Smart Sensor for Online Detection of Multiple-Combined Faults in VSD-Fed Induction Motors

Cited by 26 publications

References 51 publications

Promote the industry standard of smart home in China by intelligent router technology

Promote the industry standard of smart home in China by intelligent router technology

A Fully Integrated Sensor SoC with Digital Calibration Hardware and Wireless Transceiver at 2.4 GHz

Smart-Sensor for the Automatic Detection of Electromechanical Faults in Induction Motors Based on the Transient Stray Flux Analysis

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