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    Application of SPM for Fault Detection and RUL Estimation; Comparison with Vibration Analysis

    , M.Sc. Thesis Sharif University of Technology Davoodabadi, Ali (Author) ; Behzad, Mehdi (Supervisor)
    Abstract
    Rolling element bearings (REBs) are one of the most critical components in rotating ma-chines. Failure of these components may lead to fatal and costly breakdowns in rotating machinery. Therefore, it is significant to detect faults at early stage accurately. The pur-pose of this study is to compare vibration analysis and shock pulse method (SPM) in early detection of fault and remaining useful life prediction of REBs. To the aim, a set of ac-celerated life tests on REBs was planned. Vibration and shock pulse values accelerated life tests of the REBs were simultaneously measured from the moment of start to the end of the failure by two vibration and shock pulse sensors and their changes were... 

    Machine Learning-Based Solutions for IoT Intrusion Security

    , M.Sc. Thesis Sharif University of Technology Moradi, Kamyab (Author) ; Hajsadeghi, Khosro (Supervisor)
    Abstract
    Nowadays, by integrating the Internet of Things systems into the daily life of humans, mankind has created a platform for providing numerous and diverse services through which life has become much simpler and more convenient. These systems have gradually become an integral part of today's life. They are used in many areas of production and service provision, such as healthcare, agricultural industry, supply chain, education system, transportation, and many others. Although these achievements have facilitated human life in many aspects, they are also associated with many security risks. Intrusion detection systems (IDS) are methods for predicting possible damage (through security attacks such... 

    Inaccessible rolling bearing diagnosis using a novel criterion for Morlet wavelet optimization

    , Article JVC/Journal of Vibration and Control ; 2021 ; 10775463 (ISSN) Behzad, M ; Kiakojouri, A ; Addin Arghand, H ; Davoodabadi, A ; Sharif University of Technology
    SAGE Publications Inc  2021
    Abstract
    The objective of this research is to diagnose an inaccessible rolling bearing by indirect vibration measurement. In this study, a shaft supported with several bearings is considered. It is assumed that the vibration for at least one bearing is not recordable. The purpose is to diagnose inaccessible bearing by the recorded data from the sensors located on the other bearings. To achieve this goal, the continuous wavelet transform is used to detect weak signatures in the available vibration signals. A new criterion for adjusting the scale parameter of continuous wavelet transform is proposed based on the amplitude of the bearing characteristic frequencies. In this criterion, the optimal scale... 

    Inaccessible rolling bearing diagnosis using a novel criterion for Morlet wavelet optimization

    , Article JVC/Journal of Vibration and Control ; Volume 28, Issue 11-12 , 2022 , Pages 1239-1250 ; 10775463 (ISSN) Behzad, M ; Kiakojouri, A ; Arghand, H. A ; Davoodabadi, A ; Sharif University of Technology
    SAGE Publications Inc  2022
    Abstract
    The objective of this research is to diagnose an inaccessible rolling bearing by indirect vibration measurement. In this study, a shaft supported with several bearings is considered. It is assumed that the vibration for at least one bearing is not recordable. The purpose is to diagnose inaccessible bearing by the recorded data from the sensors located on the other bearings. To achieve this goal, the continuous wavelet transform is used to detect weak signatures in the available vibration signals. A new criterion for adjusting the scale parameter of continuous wavelet transform is proposed based on the amplitude of the bearing characteristic frequencies. In this criterion, the optimal scale... 

    Efficient Implementation of MPEG-4 HE-AACv2 on a Fixed-Point DSP

    , M.Sc. Thesis Sharif University of Technology Jafarzadeh, Mostafa (Author) ; Haj Sadeghi, Khosro (Supervisor)
    Abstract
    Providing multimedia content to the end-user is one of the most challenging tasks in today’s digital world. Therefore choosing the best media compression method is both technically and economically important. In the context of audio codecs, MPEG-4 HE-AACv2 is capable of providing very high quality output at very low bitrates. 3GPP Enhanced aacPlus is one of the practical implementations of this codec, which is extensively adopted by several telecommunication standards as the main audio compression algorithm.
    Nowadays almost every cell phone and portable digital media player includes a DSP. The C6000 family of DSPs from Texas Instruments has been exploited for the purpose of this... 

    Influential Factors in the Unstability of SRAM Cell and a Novel Structure for Improvement of Stability

    , M.Sc. Thesis Sharif University of Technology Hasanzadeh, Sina (Author) ; Hajsadeghi, Khosro (Supervisor)
    Abstract
    Embedded SRAM unit is recognized as an important block in the systems on chip. In recent years due to an abrupt increase in the number of such systems which often work with battery, the priority of designing of low power circuits has been increased. Furthermore, increase in the number of transistors in the SRAM and increase in leakage current of MOS transistors with technology scaling have rendered the SRAM into the main energy consumer (from both static and dynamic view).In the writing operation due to the full swing of bit line, the dynamic power forms the main chunk of the consumptive power. The static consumptive power mostly happens due to the leakage current of broken cells in an array... 

    Design of a High Resolution Sigma-Delta Modulator

    , M.Sc. Thesis Sharif University of Technology Mesgarani, Ali (Author) ; Haj Sadeghi, Khosro (Supervisor)
    Abstract
    Sigma-delta modulators have largely been implemented as discrete-time (DT) circuits because of their low sensitivity to circuit nonidealities, and their frequency scaling specification, however a continuous-time (CT) design offers significant advantage in the design of high accuracy, high speed analog to digital converters (ADC). A CT design allows for relaxed amplifier(s) bandwidth and power requirements, which enables the realization of high accuracy modulators with bandwidths of several megahertz at low power consumption. Furthermore CT modulators provide inherent anti-aliasing filtering which becomes especially important at low oversampling ratios. This thesis reports the design of a... 

    Active Noise Cancellation Using System Identification and Control Based on Neural Network

    , M.Sc. Thesis Sharif University of Technology Ghasri, Homa (Author) ; Haj Sadeghi, Khosro (Supervisor)
    Abstract
    This thesis presents a new approach to feedback active noise cancellation. The problem of Reducing the noise level in the environment has been the focus of research over the years. Active Noise Cancellation (ANC) is one such approach that has been proposed to eliminate Noise. ANC refers to an electro acoustic approach of canceling acoustic disturbance to Produce a quieter environment. The basic principle of ANC is to introduce a canceling “anti Noise” signal that has the same amplitude but the exact opposite phase, thus resulting in Reducing the remainder noise signal. We use neural networks based on system identification And predict control to cancel acoustic noise. Canceling acoustic... 

    Design of a Strong Delay-based PUF for FPGA 6 Series Based Systems

    , M.Sc. Thesis Sharif University of Technology Babaei, Ehsan (Author) ; Haj Sadeghi, Khosro (Supervisor)
    Abstract
    There are three types of Slices in an FPGA, and based on the functionality of these slices, SliceM has the most features especially for designs based on shift registers, adders, and ROMs, and from all of the slices, 25% of them are SliceM. Among the earlier designs that are FPGA-based, Anderson PUF is that is classified as a weak delay-based PUF. In Anderson’s design there always should be atleast two SliceMs that their LUTs are configured as shift registers, the Andersons PUF in some FPGA Architecture especially Series 7 FPGAs, consumes two SliceMs and two other SliceLs, so practically we are using four of our precious slices. Rather than these, in series 6 FPGAs, the design should change... 

    A Fully Differential Highly Linear Low Power Ultra Wideband LNA

    , M.Sc. Thesis Sharif University of Technology Ghasemi, Reza (Author) ; Haj Sadeghi, Khosro (Supervisor)
    Abstract
    This work uses a hierarchical approach for designing the integrated UWB LNA in MOSFET technology. It first offers a brief treatment of the two important types of noise: the thermal noise of channel and the gate-induced noise, in MOSFET. Then the CS and CS-CG configurations for narrow-band LNAs are considered and the requirements for the wide-band operation in UWB are specified. Noise cancelling technique is also introduced, while five wideband prototype designs, with the noise-cancelling technique used in two designs, are re-examined and tested by simulation. Some proposed methods are then applied to these designs for better performance and obtaining practical insight. The final main... 

    Seismic Image Denoising by Thresholding Neural Network in Curvelet Domain

    , M.Sc. Thesis Sharif University of Technology Haghighatgoo, Leila (Author) ; Haj Sadeghi, Khosro (Supervisor)
    Abstract
    Predicting the location of oil and gas recourses is the first challenge in the petroleum industry. One of the most popular and acceptable ways which can guide an explorer to the position of the resources is the seismic survey. By this kind of survey, geologists can observe inside of solid matter by using the ultrasound waves. The process works by sending sound waves to the surface and measuring the length it takes to be reflected from rocks underneath, then with recording these echoes by arrays of sensors, they can obtain a seismic image which has too noise, including ghosting, multiples (multiples are the waves that has been reflected more than once between the energy source and the... 

    The Application of Signal Processing in Oil Well Logging

    , M.Sc. Thesis Sharif University of Technology Tahmasebi Moradi, Faezeh (Author) ; Hajsadeghi, Khosro (Supervisor)
    Abstract
    Determining the porosity, water saturation and permeability values in the reservoir rock, are major steps in the petroleum engineering and formation evaluation. Today in the oil industry, these parameters are obtained using Helium gas injection technique on core (Plug) samples. However, the coring operation is difficult and costly. In addition, there isn't the possibility of coring in some of wells, such as horizontal wells. In fact, the present research is the modelling of artificial neural networks to estimate permeability in one of the Iranian oil field reservoirs by using oil well logging data. In this research, MLP neural network has been used and for network training, the evolutionary... 

    A new method for discovering subgoals and constructing options in reinforcement learning

    , Article Proceedings of the 5th Indian International Conference on Artificial Intelligence, IICAI 2011 ; 2011 , Pages 441-450 ; 9780972741286 (ISBN) Davoodabadi, M ; Beigy, H ; SIT; Saint Mary's University; EKLaT Research; Infobright ; Sharif University of Technology
    2011
    Abstract
    In this paper the problem of automatically discovering subtasks and hierarchies in reinforcement learning is considered. We present a novel method that allows an agent to autonomously discover subgoals and create a hierarchy from actions. Our method identifies subgoals by partitioning local state transition graphs. Options constructed for reaching these subgoals are added to action choices and used for accelerating the Q-Learning algorithm. Experimental results show significant performance improvements, especially in the initial learning phase  

    Failure threshold determination of rolling element bearings using vibration fluctuation and failure modes

    , Article Applied Sciences (Switzerland) ; Volume 11, Issue 1 , 2021 , Pages 1-18 ; 20763417 (ISSN) Behzad, M ; Feizhoseini, S ; Addin Arghand, H ; Davoodabadi, A ; Mba, D ; Sharif University of Technology
    MDPI AG  2021
    Abstract
    One of the challenges in predicting the remaining useful life (RUL) of rolling element bearings (REBs) is determining a proper failure threshold (FT). In the literature, the FT is usually assumed to be a constant value of an extracted feature from the vibration signals. In this study, a degradation indicator was extracted to describe damage to REBs by applying principal component analysis (PCA) to their run-to-failure data. The relationship between this degradation indicator and the vibration peak was represented through a joint probability distribution using statistical copula models. The FT was proposed as a probability distribution based on the fluctuation increase in the vibration trend.... 

    A 12-bit, 40MS/s, Low Power Pipelined SAR ADC

    , M.Sc. Thesis Sharif University of Technology Khojasteh Lazarjan, Vahid (Author) ; Haj Sadeghi, Khosro (Supervisor)
    Abstract
    High resolution and low power analog to digital converters are used in wireless communication receivers, Sensor Networks and Medical Instrumentations. Reducing power consumption at a high conversion rate is one of the most basic challenges for these converters. Pipelined SAR structure is considered for 40-50 MS/s and 10-12 bits, and is of interest because of consuming low power and using a small area. Besides using Pipelined SAR structure, circuit level and system level modifications are also proposed to decrease the power consumption. The ADC is designed in 0.18µm CMOS technology with 1.2v supply voltage. The results show 4.5mW power consumption, when ENOB is 11.04bit, which is very low... 

    Structural Health Monitoring and Damage Detection of Pipelines

    , M.Sc. Thesis Sharif University of Technology Mohammadi Jirandeh, Hamed (Author) ; Haj Sadeghi, Khosro (Supervisor)
    Abstract
    Pipelines are the preferred means for transporting of liquid or gas phase materials. The economy of many countries is extremely dependent upon a large network of pipelines systems to transport and distribute the nation’s energy resources. Damages to the pipe structure may cause leakage and result in economic losses or even loss of life. Developing methods for detecting the anomalies and damages to the structure before they lead to catastrophic events is vital. Multiple pipeline misadventures over the past several years have resulted in hundreds of fatalities and billions of dollars in property damages. These accidents demonstrate that the current monitoring methods are not sufficient... 

    Deign of 10 Bit 200 MS/s Pipeline Analog to Digital Converter in 0.18 um

    , M.Sc. Thesis Sharif University of Technology Ghaed Rahmati, Hanie (Author) ; Haj Sadeghi, Khosro (Supervisor)
    Abstract
    High speed data converter are very often used in telecommunication systems. Since these systems are increasingly used in mobile foem reducing the power consumption in these circuits is of great importance. The goal of this project was to design a pipeline 10 bit converter for a sample rate 200MS/s with a power consumption of 35 mW for the input level of 1Vp-p and a 1.8V power supply in 0.18um CMOS technology.
    To reach these goals, a number of low power techniqes are proposed in various levels of abstraction. In system level, the sampling and feedback capacitors is optimized analytically which leads to simple back-envelope formulas to calculate the optimum values. In circuit level, a... 

    Design of Digital Block of Receiver Section of Smart Antenna System

    , M.Sc. Thesis Sharif University of Technology Naderi Shahi, Sina (Author) ; Haj Sadeghi, Khosro (Supervisor)
    Abstract
    In recent years with the increase of cellular phone subscribers, demand for high capacity networks is inevitable. For this reason, different methods have been proposed to increase the channel capacity. One method which has become popular in recent years is utilizing of Smart Antenna Systems. Smart antennas basically attempt to enhance the desired signal power and suppress the interferers by beamforming toward the DOA (direction-of-arrival) of the desired signal and nullsteering in the interferences’ DOAs. Smart Antennas first find the direction of signal sources, and then put the main gain toward the desired signal and put the nulls toward unwanted signals. As a result, we can obtain the... 

    Repulsive Casimir Forces

    , M.Sc. Thesis Sharif University of Technology Davoodabadi, Khosro (Author) ; Bahmanabadi, Mahmoud (Supervisor) ; Taghizadeh Firouzjaee, Javad (Supervisor)
    Abstract
    It is well known that the fluctuations of electromagnetic fields in vacuum or in material media depend on the boundary conditions imposed on the fields. This dependence gives rise to forces which are known as Casimir forces, acting on the boundaries. Casimir forces between similar and disjoint objects such as two conducting or dielectric bodies are known in most cases to be attractive.¬¬ These forces are sometimes viewed as the macroscopic consequence of Van der Waals and Casimir-Polder attraction between molecules. In this thesis at first, calculation of Casimir forces in simple models were demonstrated. Then Van der Waals and Casimir-Polder forces have been explained in a unified theory... 

    Feature Extraction for Protein Sequences Based on NMR Spectra and Its Application in the Protein Interaction Prediction

    , M.Sc. Thesis Sharif University of Technology Teimoori, Bahareh (Author) ; Hajsadeghy, Khosro (Supervisor) ; Kavousi, Kaveh (Supervisor)
    Abstract
    Nuclear magnetic resonance is a spectroscopic method which is used to investigate characteristics of molecules with hydrogen and carbon chains. In this thesis we used, NMR spectrum extracted from 19 types of amino acids for investigating on feature generation for protein sequences. We processed NMR spectra based on Hydrogen and Carbon atoms in structure of the amino acids and after preprocessing we extracted features for each amino acid from the spectra. After that, we tried to cluster the amino acids with Fuzzy Clustering Method (FCM) then we generated feature vectors by extracting special descriptor for amino acids in sequence of proteins. In addition to NMR, we used the features of...