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A Neuro-Fuzzy Online Fault Detection and Diagnosis Algorithm for Nonlinear and Dynamic Systems
Mohsen Shabanian,Mohsen Montazeri 제어·로봇·시스템학회 2011 International Journal of Control, Automation, and Vol.9 No.4
This paper presents a new fault detection and diagnosis approach for nonlinear dynamic plant systems with a neuro-fuzzy based approach to prevent developing of fault as soon as possible. By comparison of plants and neuro-fuzzy estimator outputs in the presence of noise, residual signal is generated and compared with a predefined threshold, the fault can be detected. To diagnose the type, size, time and fault conditions, are used analytical approach and neural network for tracking fault developing online. The neuro-fuzzy nets are compared with some other identification methods in application of power plant gas turbine. Faults are considered in two forms, step, and ramp shape. This work was implemented with real data from gas turbine of Kazeroun (Iran) power plant (Mitsubishi unit) and result is presented to demonstrate the benefits of the proposed method.
Literacy and Breast Cancer Prevention: a Population-Based Study from Iran
Harirchi, Iraj,Azary, Saeedeh,Montazeri, Ali,Mousavi, Seyed Mohsen,Sedighi, Zahra,Keshtmand, Gelavizh,Zarinkolah, Zahra,Soltani, S.M. Amin Khalifeh Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.8
Breast cancer is the most common cancer in women worldwide and the leading cause of death from cancer among women. Evidence suggests that early diagnosis and screening interventions might help to improve outcomes. This population-based study was conducted to determine breast cancer awareness and screening behavior among Iranian women and to examine its association with women's literacy. The study was carried out in two provinces, with 1,477,045 population, located in central and eastern part of Iran. Overall, 770 women were studied. Of these, 482 (62.7%) were literate and 287 (37.3%) were not. The results obtained from the data analysis indicated that there was a significant difference between literate and illiterate women. Further analysis of the data using logistic regression showed that literacy was an important contributing factor for breast cancer prevention behavior. The findings suggest that in order to improve women's health and breast cancer outcomes providing equal educational opportunities for women seems necessary.
Kalman Filtering with Optimally Scheduled Measurements in Bandwidth Limited Communication Media
Mohammad Mahdi Share Pasand,Mohsen Montazeri 한국전자통신연구원 2017 ETRI Journal Vol.39 No.1
A method is proposed for scheduling sensor accesses to the shared network in a networked control system. The proposed method determines the access order in which the sensors are granted medium access through minimization of the state estimation error covariance. Solving the problem by evaluating the error covariance for each possible ordered set of sensors is not practical for large systems. Therefore, a convex optimization problem is proposed, which yields approximate yet acceptable results. A state estimator is designed for the augmented system resulting from the incorporation of the optimally chosen communication sequence in the plant dynamics. A car suspension system simulation is conducted to test the proposed method. The results show promising improvement in the state estimation performance by reducing the estimation error norm compared to roundrobin scheduling.