Informatics Publishing Limited

Karjagi Nigappa ¹, J. Selvakumar ¹

Affiliations
1 Department of Electronics and Communication Engineering, SRM University, SRM Nagar, Kattankulathur - 603 203, Kancheepuram, Chennai, IN

Abstract

“Smart Factory” is the future of industries. Industry 4.0 is the backbone in realizing this new concept. Industry 4.0 is based on the latest new technologies viz. Internet Of Things (IOT) and Cloud computing. IOT provides the devices which communicate between themselves and with the servers. Machine to machine communication is the base for IOT. Whereas the cloud computing provides us the space to store all the data and the facility to compute without the need of complex hardware thus reducing the cost of IOT devices. It is inventively challenging to construct devices and develop the services to realize the vision of the Fourth generation in Industrial Revolution. But it’s more challenging to get the existing Manufacturing setups and the Small scale industries in the realm of the Smart Factories. Thus a small cost effective MicroPLC is proposed which can be used in various configurations to enable the industrialist to enjoy the features of the Smart factories at optimal cost and energy.

Keywords

Cyber-Physical Systems, Industry 4.0, Smart Factory, Internet of Things, Smart Manufacturing.

Full Text

   

J. Selvakumar ¹, A. Edwin Prakash ²

Affiliations
1 Electronics and Communication Department, SRM University, Chennai – 603203, Tamil Nadu, IN
2 Systems Technology, SRM University, Kattankulatur, Chennai - 603 203, Tamil Nadu, IN

Abstract

Background/Objectives: In rotating machinery bearings plays an important role to reduce rotational friction and support radial and axial loads. Abnormal vibration affects the lifetime of machinery. This abnormality may causes by bearing Fault. In order to monitor the machines health and it is needed to focus the functionality of bearing components like ball, inner race, outer race and cage component. Methods/Statistical Analysis: There are many methodologies available to measure and analyze the fault of bearing but they utilize expensive resource to identify the bearing system. The proposed system explains and utilizes a cost effective, less time consuming system, is used for bearing faults identification. The novel system provides real-time data acquisition and signal analysis for Fault detection. Low cost Micro Electro Mechanical System (MEMS) Accelerometer sensor is used for vibration measurement, LABJACK U3 Data acquisition system connected with Raspberry Pi-2 CPU which acquires and process with high performance of acquired data by using python application software. Application/Improvements: The online signal processing technique explains the abnormality of bearing time domain data's amplitude easily classify the faulty bearing. Fast Fourier Algorithm converts time domain to frequency domain which easily represents faulty components frequency with high amplitude. Short Time FFT (STFT) shows the color map with high color intensity of vibration amplitude of faulty components and its time instant. These data representation technique is utilized to easily identify fault of bearing components.

Keywords

Bearing Faults, Fast Fourier Transform, DAQ Data Acquisition System, LABJACK U3, Raspberry Pi-2, Short Time FFT.

Full Text

   

Siddharth Bhat ¹, Shubham Choudhary ¹, J. Selvakumar ¹

Affiliations
1 Department of Electronics and Communication, SRM University, Kancheepuram – 603203, Tamil Nadu, IN

Abstract

Background/Objectives: The main objective was to design a CMOS Operational Transconductance Amplifier (OTA) for biomedical applications and high speed transmission with an operating voltage 0.4 V. Methods/Statistical Analysis: In this paper we have proposed an OTA using bulk driven technique. The transistors are working in weak-inversion. The design was simulated using conventional transistors. The technique employed was source degeneration technique with positive feedback for enhancement of the transconductance. Findings: The proposed OTA obtains a DC gain (Ao) of 26 dB, a Gain-Bandwidth Product (GBW) of 750 MHz, Slew Rate (SR) of 3.7 V/μs, a Phase Margin (PM) of 98°, DC offset of 2.2 mV and a power dissipation of 250 μW under no load condition. The proposed OTA is simulated in 90-nm CMOS technology using Cadence EDA software. Voltage to current (V/I) convertor based on proposed OTA is also simulated in 90-nm CMOS technology. The simulated results confirm rail to rail operation with the transconductance of 26 μS and bandwidth upto 40 MHz. The overall power consumption is also very less which makes it useful for low power portable applications. Applications/Improvements: The OTA proposed in this paper can be employed in low power biomedical and sensor applications. The gain could be increased for the proposed OTA as it is less and could be enhanced.

Keywords

Low Voltage, Operational Transconductance Amplifier, Source Degeneration, Sub-threshold

Full Text