Loading...
Search for: model-based-fault-diagnosis
0.006 seconds

    Development of a Fault Detection Algorithm for a PFI Engine Based on ECU Output Signals

    , M.Sc. Thesis Sharif University of Technology Falsafi, Pedram (Author) ; Hosseini, Vahid (Supervisor) ; Saidi, Mohammad Hassan (Supervisor)
    Abstract
    Electronic engine control unit (ECU) operates the different actuators using information signals received from the different sensors. Also in the case of any fault in the sensors and actuators operation ECU is responsible to detect and alert the accruing faults. Most of the common faults in the engine such as leakage in intake system and ignition system are not detectable by ECU, on the other hand ECU fault codes some times are hard to interpret or misleading. So fault diagnosis is usually based on experience of repair staff, and might be time consuming and inaccurate. In this study, using the knowledge of premixed fuel injection SI engines and emission generation and statistical data,... 

    Condition Monitoring and Fault Diagnosis of Anti-Lock Brake System (ABS)

    , M.Sc. Thesis Sharif University of Technology Eskandarian, Mehdi (Author) ; Behzad , Mehdi (Supervisor) ; Hoviattalab, Maryam (Supervisor)
    Abstract
    The purpose of this project is fault diagnosis of anti-lock brake system with mechatronic approach. To do this, first an appropriate model of the system has been developed. After validating the model, the effects of change in some parameters that indicates the occurrence of a fault in the system are used to examine the behavior of the system in a model-based manner. With this method, it can be analyzed that how a specific fault will impact other system parameters. in fact; the effect of various defects in the system can be detected.
    To do this, four common faults such as fault occurrence in hydraulic pump and solenoid valves, air presence and oil leakage in the system are implemented... 

    Model-Based Fault Diagnosis of the Gas Exchange System in a Turbocharged Gasoline Engine

    , Ph.D. Dissertation Sharif University of Technology Salehi, Rasoul (Author) ; Alasty, Aria (Supervisor) ; Vossoughi, Gholamreza (Supervisor)
    Abstract
    Proper operation of a spark ignition engine is required by comfort demands of a vehicle driver and governmental legislations. Therefore it is essential to monitor, within an online technique, the engine and detect any fault which disrupts its operation. The gas exchange path (including the intake and exhaust subsystems) is an important part of turbocharged engines responsible for accurate control of both engine power and emissions. Monitoring the path for fault detection and isolation (FDI) has been always demanded due to many failures it may face since the turbocharger exasperates the harsh working conditions for components involved in the path. This paper presents a novel model-based...