Sensor/actuator failure detection in the Vista F-16 by multiple model adaptive estimation
نویسندگان
چکیده
منابع مشابه
Stator Fault Detection in Induction Machines by Parameter Estimation Using Adaptive Kalman Filter
This paper presents a parametric low differential order model, suitable for mathematically analysis for Induction Machines with faulty stator. An adaptive Kalman filter is proposed for recursively estimating the states and parameters of continuous–time model with discrete measurements for fault detection ends. Typical motor faults as interturn short circuit and increased winding resistance ...
متن کاملMultiple F 0 Estimation
This chapter is about the estimation of multiple fundamental frequencies (F0) from a waveform such as the compound sound of several people speaking at the same time, or several musical instruments playing together. That information may be needed to transcribe the music to a score, to extract intonation patterns for speech recognition, or as an ingredient for computational auditory scene analysi...
متن کاملNonlinear Model Based Fault Detection of Lithium Ion Battery Using Multiple Model Adaptive Estimation
In this paper, an adaptive fault diagnosis technique is used for fault detection in Lithium ion batteries. The monitoring setup consists of multiple models representing the different degree of parameter shift due to over-discharge in the Lithium ion battery. A recursive least square estimator along with equivalent circuit methodology is used to construct the non-linear battery models. Extended ...
متن کاملhydrochlorothiazide detection in urine samples by hplc-dad and experimental design dispersive l-l microextraction
hydrochlorothiazide (hct) is a diuretic agent which is shown to be effective in the treatment of hypertension. literature reports have demonstrated that urinary excretion data may be used to assess the bioavailability of various formulations containing this thiazide. also hct consumption by the athletes is one of the drugs which should be regulated by world anti-doping agency (wada), because of...
Online multiple people tracking-by-detection in crowded scenes
Multiple people detection and tracking is a challenging task in real-world crowded scenes. In this paper, we have presented an online multiple people tracking-by-detection approach with a single camera. We have detected objects with deformable part models and a visual background extractor. In the tracking phase we have used a combination of support vector machine (SVM) person-specific classifie...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Aerospace and Electronic Systems
سال: 1995
ISSN: 0018-9251
DOI: 10.1109/7.464346