Comprehensive dataset for fault detection and diagnosis in inverter-driven permanent magnet synchronous motor systemszenodo [PDF]
Data in BriefThis work introduces a new, comprehensive dataset for Fault Detection and Diagnosis (FDD) in inverter-driven Permanent Magnet Synchronous Motor (PMSM) systems.
Abdelkabir Bacha +3 more
doaj +2 more sources
Recent Advances in Intelligent Algorithms for Fault Detection and Diagnosis. [PDF]
Sensors (Basel)Fault-finding diagnostics is a model-driven approach that identifies a system’s malfunctioning portion. It uses residual generators to identify faults, and various methods like isolation techniques and structural analysis are used.
Mercorelli P.
europepmc +2 more sources
A generic fault detection and diagnosis approach for pneumatic and electric driven railway assets [PDF]
, 2010 The railway assets studied in this project, are those widely distributed pieces of equipment that are critical to the dependable operation of the railway system. A failed asset is likely to cause significant delay to rail services, and may even place the
Bai, Hao
core +7 more sources
A self-validating control system based approach to plant fault detection and diagnosis [PDF]
, 2001 An approach is proposed in which fault detection and diagnosis (FDD) tasks are distributed to separate FDD modules associated with each control system located throughout a plant.
Chen, J., Howell, J.
core +1 more source
Detection and Identification of Loss of Efficiency Faults of Flight Actuators
International Journal of Applied Mathematics and Computer Science, 2015 We propose linear parameter-varying (LPV) model-based approaches to the synthesis of robust fault detection and diagnosis (FDD) systems for loss of efficiency (LOE) faults of flight actuators.
Ossmann Daniel, Varga Andreas
doaj +1 more source
Data-Driven Fault Diagnosis for Electric Drives: A Review [PDF]
, 2021 The need to manufacture more competitive equipment, together with the emergence of the digital technologies from the so-called Industry 4.0, have changed many paradigms of the industrial sector.
Garramiola, Fernando +9 more
core +1 more source
Experimental Study on Fault Detection Algorithm Using Regression Method for Plural Indoor Units Faults of Multi-Heat Pump System under Heating Mode [PDF]
, 2012 This paper presents the fault detection algorithm using regression method for plural indoor units faults of multi-heat pump system under heating mode. To develop the fault detection algorithm, experiment was performed under no fault mode.
Kim, Hak Soo, Kim, Min Soo, Cho, Min Ki
core +1 more source
Smart fault detection and diagnosis system for collaborative robots using deep learning techniques [PDF]
EPJ Web of ConferencesFault Detection and Diagnosis (FDD) is crucial for ensuring safe, reliable, and energy-efficient operation of collaborative robots, especially with the growth of Industry 4.0.
Banu A. Nazreen +3 more
doaj +1 more source
Machines, 2022 Fault diagnosis plays an essential role in reducing the maintenance costs of rotating machinery manufacturing systems. In many real applications of fault detection and diagnosis, data tend to be imbalanced, meaning that the number of samples for some ...
Masoud Jalayer +3 more
doaj +1 more source
BEARING-FDD: An early detection and diagnosis tool for bearing faults in rotating machinery
Software ImpactsSpanish National Plan Research, Development, and Innovation under project EDNA [PID2021-124383OB-I00]; European Union; University of Oviedo; University of Cranfield; Severo Ochoa program [PA-22-BP21-120]
Luis Magadán +5 more
openaire +4 more sources