1,721,041 research outputs found
Synthesis of optimal schedule and water network for a multipurpose multiproduct textile industry through a sequential MILP-NLP technique
No full textQuantification of state estimator performance in presence of model plant mismatch for multivariate system
No full textThis article proposes a data driven technique for quantifying the performance of state estimators in the presence of a mismatch between plant dynamics and the model used for estimation. A two step approach is proposed in which Hurst exponent of posteriori error (difference between plant measurement, and updated estimator outputs ^) is calculated which is then used as feature vector. This feature vector can quantify mismatch for univariate | systems but for multivariate systems correlation in between variables can be taken into account by calculating Mahalanobis distance of the Hurst exponents. Mahalanobis distance of feature vector (Hurst exponent) provide a metric which can quantify the model plant mismatch. This two steps technique can be applied to estimated states also when enough measurements are not provided by process. The procedure is tested on two non-linear systems and simulation results reveal that the technique serves as a tool that (i) can quantify the performance of a state estimator in a multivariate system, (ii) is independent of computation theory of estimator
Intelligent power management system (IPMS) and health monitoring framework for electrical loads in armored fighting vehicles
No full textDevelopment of optimal schedule and water network for multistage multi product textile dyeing batch plant using genetic algorithm
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Cognitive engineering approaches to enhance control room operator capabilities in chemical industries
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State estimation approach for fault diagnosis in anaerobic digester:application to India's largest dairy unit
No full textImproper treatment in sewage treatment plants and effluent treatment plants of industries account to a major amount of water pollution. This made Governments impose strict rules and regulations on reatment plants. As Anaerobic digestion is one of the cheapest and effective waste water treatment the work focuses on improving its efficiency by early Fault detection and diagnosis. In the work concerned, Model based State estimation approach is applied for fault identification in anaerobic digester. The proposed model is validated by measurements of Anaerobic digester from Amul dairy plant. The model is fed to EKF algorithm to estimate the other unmeasured states.EKF is able to estimate 16 other states out of 24 states in the model. Some faults are simulated and EKF is able to estimate the unmeasured states in faulty condition. This information of states aids in early detection of fault and helps in quick recovery of the process without disturbing other sub processes and enhances performanc
Online Health Monitoring of the Polymer Electrolyte Membrane Fuel Cell
No full textThe Polymer Electrolyte Membrane (PEM) Fuel Cell is a widely researched fuel cell, and a very promising candidate for alternate power generation. However, technical issues such as cell flooding and drying prevent its deployment in many applications. Electrochemical Impedance Spectroscopy (EIS) is a very powerful technique used to isolate flooding and drying in a fuel cell. However, the time required to obtain measurements in EIS can sometimes be too large to cause irreparable damage to the cell, rendering it a mere post-mortem technique. This is because EIS perturbs a fuel cell with multiple cycles of a large number of sinusoidal signals at different frequencies. A new technique is proposed that uses the concept of EIS, but excites the cell with a chirp signal, allowing scanning a large range of frequencies in a relatively short time. his technique which we call Fast EIS, is computationally much faster than traditional EIS. Processing of data obtained with Fast EIS is done using two methods - the traditional Fourier Transform division method, and a new Wavelet Coherence method. Simulation results of Fast EIS with PEMFC models taken from literature are shown with performance comparable with that of traditional EIS. The information extracted from Fast EIS is also used for implementing a preliminary control technique to maintain the health of the fuel cell
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