Sökning: "Residual-based fault detection"

Hittade 2 uppsatser innehållade orden Residual-based fault detection.

  1. 1. Real-time Classification of Multi-sensor Signals with Subtle Disturbances Using Machine Learning : A threaded fastening assembly case study

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Theodor Olsson; [2021]
    Nyckelord :Multivariate time series classification; Residual-based fault detection; Low-pass filter; Support vector machine; Threaded fastening assembly; Multivariat tidserieklassificering; Residual-baserad feldetektering; Lågpass-filter; Stödvektormaskin; Åtdragningsmontering;

    Sammanfattning : Sensor fault detection is an actively researched area and there are a plethora of studies on sensor fault detection in various applications such as nuclear power plants, wireless sensor networks, weather stations and nuclear fusion. However, there does not seem to be any study focusing on detecting sensor faults in the threaded fastening assembly application. LÄS MER

  2. 2. Diagnosis of a Truck Engine using Nolinear Filtering Techniques

    Uppsats för yrkesexamina på grundnivå, Institutionen för systemteknik

    Författare :Fredrik Nilsson; [2007]
    Nyckelord :particle filter; diagnosis; extended Kalman filter; likelihood; cusum;

    Sammanfattning : Scania CV AB is a large manufacturer of heavy duty trucks that, with an increasingly stricter emission legislation, have a rising demand for an effective On Board Diagnosis (OBD) system. One idea for improving the OBD system is to employ a model for the construction of an observer based diagnosis system. LÄS MER