Abstract A new methodology for clustering multivariate time‐series data is proposed. The based on calculating the degree of similarity between datasets using two factors. One factor principal component analysis and angles subspaces while other Mahalanobis distance datasets. standard K ‐means algorithm modified to cluster Simulation from nonlinear dynamic systems: a batch fermentation continuous exothermic chemical reactor, are clustered demonstrate effectiveness proposed technique....

Abstract For many engineering and business problems, it would be very useful to have a general strategy for pattern matching in large databases. example, the analysis of an abnormal plant condition benefit if previous occurrences could located historical data. A new pattern‐matching is proposed multivariate time series based on statistical techniques, especially principal‐component (PCA). The approach both data‐driven unsupervised because neither training data nor process model required....

Wearable sensors offer great potential in sports, fitness, and medicine. However, their limited battery life poses a major obstacle to widespread use. This paper explores various energy solutions extend the of wearable sensors. The first part focuses on hardware improvements for sensors, such as employing low‐power energy‐ efficient microcontrollers, power management circuits. second discusses utilization solar, thermal, kinetic harvesting techniques These methods aim harness from...

A novel methodology is proposed for matching patterns in time-series databases based on unsupervised learning and multivariate statistical techniques. The new approach provides a preliminary screening of large amounts historical data order to generate candidate pool similar periods operation. This much smaller number records can then be further evaluated by someone familiar with the process. distance similarity factor that complements standard principal component analysis factor. two factors...

The article seeks to answer the question: how can relevant information be extracted from huge historical databases? A pattern-matching methodology has been evaluated in a case study for batch fermentation process. proposed approach is both data driven and unsupervised. new relies on PCA similarity factor based distance between two datasets. computational requirements are modest, allowing large databases processed relatively small amount of time.

There is tremendous potential in solar energy to meet future electricity demands. Partial shading (PS) and drift are two major problems that must be addressed simultaneously achieve the maximum power point (MPP) of a stand-alone PV system, which discussed this paper. Both these factors contribute voltage drop due heavy steady-state oscillation. The partial problem associated with severe rapid changes insolation. A modified drift-control perturbation observation DC-(P&O) approach was...

The diagnosis of abnormal plant operation can be greatly facilitated if periods similar performance located in the historical database. A novel methodology is proposed for this pattern matching problem. new approach provides a preliminary screening large amounts data order to generate candidate pool operation. This much smaller number records then further evaluated by someone familiar with process. Similarity factors are used characterize degree similarity between current and data. distance...

The paper describes a new method for estimating the poles of an ARMA model using higher-order crossings. involves transforming counts crossing events into estimates via autocorrelation domain. An important advantage is that are only features need to be stored from original data. ARM A control loop correspond roots characteristic equation and thus useful evaluating performance.

The world is moving towards the generation of electricity with renewable energy sources (RES) due to deterioration green environment and trying replace non-renewable resources. real-time results are achieved help an arm controller, having good controller efficiency Waijung toolbox, compatible MATLAB using STM32ST-link utility. In this paper, authors focused on areas such as easy implement efficiency, solutions for modified direct-control perturbation & observation (DC-P&O) technique...

Abstract This work elucidates the control of integrating a nonminimum phase system via series cascade scheme with fractional‐order P.I. (Proportional–Integral) plus D (Derivative) controller. The traditional Internal Model Control (IMC) is adopted for inner loop controller design. feedback synthesized outer process model, showing proposed work's universality. suggested in IMC framework after accountability fractional‐filter and inverse response compensator. combination revealed to enhance...

It is a common practice in the process industry to compress data before it archived. However, compression may alter original manner that makes extracting useful information from more difficult. In this paper, popular methods and their effect on pattern matching historical are evaluated. Pattern performed using principal-component analysis based similarity factors. Simulation results indicate wavelet-based provides best for matching, while OSI PI software produces reconstruction of data.

Abstract In the present study, work of Gstalder and Raynal on correlation physical properties rocks with drilling performance has been extended some new methods measuring rock drillability have proposed. Their conclusions that sonic velocity is a good indicator substantiated, provided mineralogical factor taken into account. Rock [ ], defined in as volume drilled per unit energy input, same dimensions Raynal's "Effritement Specifique" obtained from Schreiner hardness test. A between these...

A mathematical model is presented to analyse the vibration of a tapered isotropic rectangular plate under thermal condition. Tapering in thickness considered bi-parabolic. Here, temperature variation assumed bi-linearly, i.e. varies linearly x-direction and y-direction. First two modes frequency are calculated for five boundary conditions such as C-C-C-C, SS-SS-SS-SS, C-SS-SS-SS, C-SS-C-SS C-C-C-SS, where C SS stand clamped simply supported boundary, respectively. The homogeneous made up...

Among the non-conventional energy sources, solar energy, specifically photovoltaic is considered most promising. This because it has potential to meet requirements of remote rural regions. research discusses design and implementation an improved control approach for a single-stage photovoltaic-based water pumping system. The system efficient dependable thanks innovative scheme basic switching SRM drive across its maximal operating period. MATLAB Simulink programme used do simulation. results...

Abstract Although on‐line measurements play a vital role in process control and monitoring performance, they are corrupted by noise occasional outliers (such as spikes). Thus, there is need to rectify the data removing reducing effects. Well‐known techniques such Kalman Filtering have been used effectively filter measurements, but it not designed automatically remove outliers. A new methodology based on rectifies well measurements. Filter equations were formulated form of probability...

A new methodology for clustering multivariate time-series data is proposed. The based on calculation of the degree similarity between datasets using two factors. One factor principal component analysis and angles subspaces while other Mahalanobis distance datasets. standard K-means algorithm modified to cluster Data from a highly nonlinear acetone-butanol fermentation example are clustered demonstrate effectiveness proposed methodology. Comparisons with existing methods show several advantages

In present day Metal matrix composites(MMCs) are widely used in automotive and aeronautical domains due their superior mechanical properties compared to base metal. The current study evaluates the potentiality of conventionally prepared bamboo char particulates along with commercial grade B4C as micro fillers dispersed into Aluminium 6061 matrix. Three different compositions fabricated through stir casting. Density measurements, tensile tests Brinell hardness were carried out SEM...

Model quality is a key factor that affects the control performance of model predictive control. In this paper, new closed-loop assessment approach proposed to assess deficiency from routine data. The index minimum variance benchmark for residuals obtainable From feedback invariant principle disturbance innovations at current instance are shown be unaffected by controller even if it nonlinear time-varying controller. Then sequence can estimated closed loop data an orthogonal projection output...

Metal matrix composites (MMCs) have a wide scope of industrial applications and triumph over conventional materials due to their light weight, higher specific strength, good wear resistance lower coefficient thermal expansion. The present study aims at establishing the feasibility using Bamboo charcoal particulate boron carbide as reinforcements in Al-6061 alloy investigate effect on taking into consideration interfacial adhesion alloy. was chosen base metallic matrix. Sun-dried bamboo canes...