Review Of Fault Diagnosis Research Articles

Review of Fault Diagnosis and Early Warning of Coal Mine Ventilator

Review of Fault Diagnosis and Early Warning of Coal Mine Ventilator

A Review of Fault Diagnosis, Status Prediction, and Evaluation Technology for Wind Turbines

With the rapid development and increasing energy production capacity of high-power wind turbines, a corresponding increase in maintenance requirements has been observed. Reducing the failure rate of wind turbines is a critical objective, alongside decreasing affiliated operation and maintenance costs. This review focuses on the status monitoring, fault diagnosis, fault prediction, and status evaluation of wind turbines. The early fault diagnosis of wind turbines is explored with regard to existing condition monitoring technology. Moreover, the current mathematics-based fault diagnosis and smart fault diagnosis technologies are further explored. Through comprehensive investigation, this paper summarizes the research status of wind turbine fault prediction and complete machine status evaluation, conclusively presenting relevant research points and trends in the fault diagnosis, fault prediction, and status assessment of high-power wind turbines.

A review of fault diagnosis, prognosis and health management for aircraft electromechanical actuators

As More/All Electric Aircraft gradually become a research hotspot, electromechanical actuators (EMAs), which can directly convert electrical energy into mechanical energy, have gained more and more attention. However, since the reliability of EMA cannot meet the requirements of actual aircrafts, the practical application of EMA is severely limited. Therefore, fault diagnosis, prognosis and health management (DPHM), which can realise condition-based maintenance (CBM), has become the key technology in the application of EMA. The aim is to summarise the research on EMA fault modes, fault diagnosis, prognosis and health management systematically and comprehensively. First, the basic structure and common fault modes of EMAs are introduced, and the failure mechanism of EMA is studied. Then, the algorithms of DPHM for EMAs are reviewed in detail. The perception strategies of data acquisition are analysed, and the EMA fault diagnosis methods, including model-based and data-driven methods, are reviewed. The research of remaining useful life (RUL) prediction and fault-tolerant control are introduced. After that, some problems of the existing research on EMA DPHM and their potential solutions are put forward. Finally, several possible developing directions of research on EMA DPHM are predicted.

A review of fault diagnosis and fault-tolerant control of vehicular polymer electrolyte membrane fuel cell power system

Proton exchange membrane fuel cell (PEMFC) is a promising vehicle power because of its high energy conversion efficiency and pollution-free reactant. However, the complex structure of multi-system coordination makes the correlation between parameters strong, the fault rate is high and the control is difficult. Timely and accurate fault diagnosis and effective fault-tolerant control are of great significance to the stable output and durability of PEMFC system. Firstly, this paper classifies different faults and describes the applicable scenarios of each classification method. Then, the fault diagnosis methods based on experiment, model and data are summarized, and their advantages and disadvantages are compared. Then, the methods and characteristics of hardware fault tolerance and software fault tolerance are analyzed from the point of redundancy, and the application of fault tolerance control in maintaining the stability of PEMFC system is summarized. Finally, the improvement direction and development prospect of fault diagnosis related technology of vehicle PEMFC system are proposed.