Salah Bouhouche

Welding and NDT Research Centre · Iron and Steel Applied Research Unit, URASM-CSC Annaba

The monitoring of casting quality is very important to ensure the safe operation of casting processes. In this paper, in order to improve the accurate detection of casting defects, a combined method based on principal component analysis (PCA) and self-organizing map (SOM) is presented. The proposed method reduces the dimensionality of the original...

The monitoring of casting quality is very important to ensure the safe operation of casting processes. In this paper, in order to improve the accurate detection of casting defects, a combined method based on Principal Component Analysis (PCA) and Self-Organizing Map (SOM) is presented. The proposed method reduces the dimensionality of the original...

The synthesis of materials using the principle of thermogravimetric analysis to discover new anticorrosive paints requires several costly experiments. This paper presents an approach combining empirical data and domain analytical models to reduce the number of real experiments required to obtain the desired synthesis. The main idea is to predict th...

This paper is concerned with a method for quality control– and evaluation-based measurements and advanced methods of modeling and identification systems. The variability of properties is measured by the magnitude of the distance between the output of the model and the required measurement; the variability level depends on the several factors affect...

Two materials are studied to synthesize a vinyl painting. Iron ore is an iron pigment with an oolithic structure containing phosphorus. The second material is a steel by-product. The raw materials proprieties were studied by chemical, particle size, thermal, XRD and spectrophotometric analysis. The iron contents of the pigment and scale are respect...

Monitoring industrial infrastructures are undergoing a critical transformation with industry 4.0. Monitoring solutions must follow the system behavior in real time and must adapt to its continuous change. We propose in this paper an autoencoder model-based approach for tracking abnormalities in industrial application. A set of sensors collects data...

Characterization methods of material are widely used in different steps of quality control in material sciences and engineering. Such methods are relatively complex according to the considered case. This paper is concerned by a characterization method for mineral material analysis using thermal analysis i.e. Differential Scanning Calorimetric. The...

The present study deals with the numerical simulation of steel solidification in continuous casting. We consider a semi-discretization with respect to the time of the studied evolution problem; then we have to solve a sequence of stationary coupled problems. So, due to the fact that the temperature is assumed to be positive, after reformulation of...

The bearings are the most important mechanical elements of rotating machinery. They are employed to support and rotate the shafts in rotating machinery. An unexpected defect of the bearing may cause significant economic losses. For that reason, the condition monitoring of these bearings has become a fundamental axis of development and industrial re...

Quality management and control is a basic and important activity needed along the production process. From raw material to the final product, quality control and testing need an online measurement , control, evaluation and management. Generally, the management system is based on continuous measurements and improvement which is affected by several f...

This paper is concerned with a method for breakout defect detection and evaluation in a continuous casting process. This method uses adaptive principal component analysis (APCA) as a predictor of inputs–outputs model, which are defined by the mould bath level and casting speed. The main difficulties that cause breakout in continuous casting are, ge...

Continuous casting of steel is a complex industrial process, involving many factors and mechanisms. For steelmakers it is very difficult to control the process parameters optimally to obtain a product free defect i.e. a quality with the best possible return. Numerical simulation is a tool that can be used to optimize the process parameters. This wo...

A standard tensile test was carried out on prismatic specimens of glass-perlon reinforced acrylic resin laminate composite material of orthopedic use, developed by the National Office Equipments and Accessories for People with Disabilities, ONAAPH Annaba (Algeria). The measurement results of the Young's modulus and the fracture strength show a larg...

This paper is concerned with a method for uncertainty evaluation of mechanical properties in metal testing. This method uses a combined approach based on Monte Carlo simulation and Markov Chain (MCMC) as a computing procedure of different uncertainties of mechanical and metallurgical parameters such as stress, and elongation. The MCMC is a stochast...

Closed-loop control is a basic technology in control engineering. Its role is to avoid the tracking error between set points and real variables. The evaluation of plant performance can be based on multivariate statistical process control connected to closed-loop errors behaviour. Due to its practicality, this approach has found many applications in...

This paper is concerned with a method for on-line quality prediction and evaluation of mechanical properties in metal testing. This method uses an Adaptive Principal Component Analysis (APCA) as a multi predictor of different sub-models defining the mechanical properties such as constraints limits and elongation. The PCA technique, characterized by...

Fault diagnosis is useful for ensuring the safe running of machines. Vibration analysis is one of the most important techniques for fault diagnosis of rotating machinery; as the vibration signal carries the dynamic information of the system. Many signal analysis methods are able to extract useful information from vibration data. In the present work...

A method for surface quality evaluation and temperature monitoring of the billet in continuous casting is considered in this paper. This method uses the difference between the measured and the filtered temperature computed using an adaptive support vector machine method. The temperature field, measured by an infrared camera, is affected by an impor...

Process control is the basic principle of advanced quality engineering, the calibration of such system is of the great importance, as mentioned in the ISO 9001/2000, the measurement and control system must be calibrated to assume the required quality of the product. Support Vector Regression (SVR) based on statistical learning algorithm can be used...

Vibration analysis is essential in improving condition monitoring and fault diagnostics of rotating machinery. Many signal analysis methods are able to extract useful information from vibration data. Currently, the most of these methods use spectral analysis based on Fourier Transform (FT). However, these methods present some limitations; it is the...

This paper introduces a method for Submerged Arc Welding (SAW) quality evaluation, which combines model identification and fuzzy sets methods. To account for SAW quality variations, the proposed approach is based on an optimal reference Gauss distribution temperature along of the welding line in order to take into account the eventual process chang...

Process fault detection and diagnosis plays a very important role in the production security and the product quality. In this paper, in order to improve the accuracy for fault detection and diagnosis, a new method based on principal component analysis (PCA) is proposed in low pressure lost foam casting process. PCA method reduces the dimensionality...

Process monitoring using multivariate statistical process control (MSPC) has attracted large industries types due to its practical importance and application. In this paper, a combined use of principal component analysis (PCA) and self organisation map (SOM) algorithms are considered. Habitually PCA method uses T2 Hoteling's and squared predicted e...

The requirements as regards ecology are imposed more and more by the legislator. The cast iron foundries, using the cupola furnace like means of fusion and several other materials for the clothes industry of the moulds and the cores, produce a great quantity of noxious gas and dust. These polluants are discharged into the atmosphere and are very ha...

A method for process condition monitoring and evaluation, which combines the online support vector machine (SVM) regression and the fuzzy sets methods, is proposed. To account for the time dependence, the proposed approach is based on moving windows in order to take into account the past and new data for the model’s adaptation. The fuzzy analysis i...

In continuous casting, the cooling-solidification process must be based on the adaptation of heat transfer, which is directly connected to casting conditions such as casting speed, casting temperature, and cooling parameters. Most control schemes are based on the static relation between casting speed and water flow rate in each cooling zone; this c...

This paper is a contribution in the field of failure and fault diagnosis based Self Organization Map (SOM) algorithm. This algorithm is used in the overall computational scheme for an assessment of the difference between two sets of operation data of a real process. Computed metric distances are used to qualify faults and their belonging class. App...

On line quality evaluation is an important domain particularly in the complex processes where the characteristic of the product quality is difficult to measure directly. Evaluation based modelling techniques can be considered as an alternative to solve such complex problem. We consider in this work a contribution for product quality evaluation in h...

On line quality monitoring is an important domain particularly in the complex processes where the characteristic of the product quality is difficult to measure directly. Soft sensor based modelling and monitoring techniques can be considered as an alternative to solve such complex problem. We consider in this work a contribution for product quality...

This paper deals with non linear system monitoring, based on a combined use of Principal Components Analysis (PCA) and fuzzy logic to process and quality monitoring. PCA coupled to fuzzy logic was used to estimate the fault or defect according to the dynamic changes in the process inputs – outputs characterized by T2 Hoteling and Squared Prediction...

We consider in this paper a combined use of Principal Component Analysis (PCA) and Recursive Least Square (RLS) for quality and process monitoring. PCA approach operates generally on the system inputs - outputs which are affected by the noise; this also affects the sensitivity of Q statistic indicator. To overcome this inconvenient, we consider a c...

In continuous casting, the stability of the mould bath level is an important index for quality of bloom. Mould bath level stability is strongly connected to the internal and external of product quality. Break out problem is also directly correlated with the mould bath level oscillation in the mould particularly for the bloom with a little section....

A new approach for fault detection and monitoring based on the parameters identification coupled to the Principal Component Analysis (PCA) is proposed in this paper. The proposed Fault Detection and Monitoring consists to apply the PCA method on the dynamic of the identified parameters. Conventional PCA uses the process inputs and outputs as variab...

A new approach for fault detection and monitoring based on the parameters identification coupled to the Principal Component Analysis (PCA) is proposed in this paper. The proposed Fault Detection and Monitoring consists to apply the PCA method on the dynamic of the identified parameters. Conventional PCA uses the process inputs and outputs as variab...

Modern manufacturing facilities are large scale, highly complex, and operate with large number of variables under closed loop control. Early and accurate fault detection and diagnosis for these plants can minimise down time, increase the safety of plant operations, and reduce manufacturing costs. Fault detection and isolation is more complex partic...

In this work, we consider an application of neural networks in LD converter. Application of this approach assumes a reliable prediction of steel temperature and reduces a reblow ratio in steel work. It has been applied a conventional model to charge calculation, the obtained results by this technique are not always good, this is due to the process...

Modern manufacturing facilities are large scale, highly complex, and operate with large number of variables under closed loop control. Early and accurate fault detection and diagnosis for these plants can minimise down time, increase the safety of plant operations, and reduce manufacturing costs. Fault detection and isolation is more complex partic...

In the steel industry, the refining process achieves the final chemical composition and temperature of liquid steel by adjusting the optimal quantity of additives and energy. Generally a conventional charge calculation based on mathematical and thermodynamic models that provides considerable help is used, but it is difficult to model the highly com...

Freiberg (Sachsen), Techn. University, Diss., 2002 (Nicht für den Austausch).

The present study deals with the numerical solution of an obstacle problem. This problem describes the steel solidification in continuous casting. We consider a semi-discretization with respect to time. Thanks to the approximation of the nonlinear boundary condition defined by Stefan's law by the linear condition, we have been able to study the exi...