Internet of Things (IoT) is an integration the Sensor, Embedded, Computing, and Communication technologies. The purpose IoT to provide seamless services anything, anytime at any place. technologies play a crucial role everywhere, which brings fourth revolution disruptive after internet Information Technology (ICT). Research & Development community has predicted that impact will be more than ICT on society, improves well-being society industries. Addressing predominant system-level design...

Nowadays, the number of aging high-rise civil structures is growing throughout world, and most them use concrete as a building material. Concrete may lose its strength due to continuous loading environmental impacts. As result, damage (crack spall) occur on exterior surface structure. Whenever these deformities are left unexplored untreated, integrity structure be compromised. Therefore, regular maintenance needed. Some previous vision-based studies have used drone vehicle capture record...

This paper proposes a novel Variational mode decomposition (VMD) algorithm for bearing fault diagnosis. The Fast Fourier Transform fails to analyse the transient and non-stationary signals. Discrete transform Empirical do not have ability attain accurate Intrinsic functions under dynamic system conditions because characteristic of exponentially decaying dc offset is consistent. EMD fully data-driven, model-based, adaptive filtering procedure extracting signal components. technique has high...

Concrete is one of the primary and most commonly used materials for construction buildings, roads, bridges, dams. But it may lose its strength with age, moisture content, or due to other factors. As a result, little damage (crack spall) these structures lead sudden collapse breakage, which in turn can decimate many lives economic losses. Hence, ensure their proper load, accurate screening concrete surface necessary maintenance engineers understand evaluate severity damage. Few preceding...

Bearing health analysis plays a significant role in industry to improve reliability and performance of critical processes by alarming the faults at early stages. Conventional techniques do no guarantee detect stages because low energy bearing frequencies get suppressed stern noise higher vibrations. The Fast Fourier Transform fails analyse transient non-stationary signals directly. This paper performs signal on vibration data ball using Variational mode decomposition (VMD). Firstly,...

Recent advancements in IoT have led to emergence of fascinating breakthroughs diverse applications. Nowadays, the use-cases smart home systems are augmenting as they provide functionalities like real-time monitoring and high degree remote control. MQTT protocol is one most widely used messaging protocols IoT-based applications including homes. This lacks required security features owing which, intruders can launch variety attacks easily. Stirred by this, we proposed a lightweight device...

The kinematics of the bearing is erratic and random in nature requires timely attention to avoid any catastrophic failure. In this study, authors have proposed analysed amplitude frequency modulated signals emanating from using four steps, i.e. standardisation, empirical mode decomposition, principal component analysis (PCA), envelope cepstral techniques. First, standardised are decomposed into stationary non‐linear modes called intrinsic functions (IMFs). approach, PCA applied on IMFs...

An algorithm for optimizing the principal component analysis in gesture recognition is proposed, which makes use of covariance between factors to reduce data dimensions. The objectivity and automatization above manual observation realized by algorithm. We present an approach detection identification human gestures describe a working, near system then recognize person comparing characteristics those known individuals. Our treats as two dimensional problem, taking advantage fact that are...

Bearing fault is an issue in process and control industries, has significant impact the production flow. The behaviour of machinery can be well understood from frictional forces bearing due to load, also wear tear ball bearings. characteristic this predict exact nature load any future malfunction operating equipments. signals generated these bearings types i.e., sound or vibration. acoustic phenomenon tough noisy environment, where as vibration data used when cannot source information. In...

The use of advanced technologies such as Micro-electromechanical system (MEMS) sensors and low power wireless communication hold a great promise for optimal performance industrial wet ball mill. direct translation the natural phenomena batch mill in lab setup to continuous process industry is quite perplexed nature their intent operating conditions. In this paper, vibration signatures are analyzed using MEMS accelerometer sensor. signals acquired two sensors; mounted at feed discharge end...

Ball bearing fault segmentation at different time steps are important to avert failure. This paper studies the Vibro-acoustic characteristic of ball using Wavelet Based Multi Scale Principal Component Analysis (WMSPCA) and FFT. Firstly, frequencies for healthy unhealthy states verified an impulse exciter hammer; generated acquired a Zigbee wireless accelerometer sensor. Secondly, acoustic vibration characteristics three channel sensor array microphone. Lastly, actual extracted WMSPCA. The...

Fault identifications of bearings are complex process and require non‐stationary signal processing methods along with the envelope cepstral analysis techniques to demodulate amplitude modulated signals. In this study, fault signals from drive end induction motor detected using proposed unitary sample shifted rectangular Laplacian probability density functions (pdf). These used generate recursive frame‐based crest factor (FCF), kurtosis (FKS) energy (FE) time series. series substantially...

The basic idea of this paper is to characterize wireless MEMS capacitive accelerometer sensor based on their field applications. selection accelerometers are difficult for certain applications, that demands the be mount rotating platform, higher value g, sensitivity, and wide bandwidth operation. Whenever sensitivity chosen, short fall in range g This a serious issue with as far industrial applications i.e., ball mill sag mills concerned. There misconception using (approximately around 500...

This letter presents a new algorithm to construct an XOR-Free architecture of power efficient Convolutional Encoder. Optimization XOR operators is the main concern while implementing polynomials over GF(2), which consumes significant amount dynamic power. The proposed approach completely removes XOR-processing operation chosen nonsystematic, feed-forward generator polynomial and reduces logical operators, thereby encoding cost. Hardware (HW) implementation design uses Read-only memory (ROM)...

Structural health monitoring of civil structures is an important research area used for continuous and damage prediction. To estimate the various modal parameters required. These are derived from natural frequency buildings measured mostly using accelerometer sensor. The accuracy system not only depends on sensor but also wireless network data acquisition its transmission node to coordinator further processing. This paper focuses implementation structural IEEE 802.15.4 standard based TIMAC...