Sökning: "Failure detection"

Visar resultat 11 - 15 av 119 uppsatser innehållade orden Failure detection.

  1. 11. Fault Tolerant Stabilizability in Multihop Control Networks

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Rana Faheem Iftikhar; [2023]
    Nyckelord :wireless networked control systems; Fault detection and isolation; Multihop control networks; WirelessHART; IT security; relay nodes failure; Design Wireless sensor network;

    Sammanfattning : The integration of control systems with wireless communication networks has gainedsignificant popularity, leading to the emergence of wireless networked control systems(WNCS). WNCS comprises wireless devices such as sensors, actuators, andcontrollers that work together to ensure system stabilizability. LÄS MER

  3. 12. Failure Inference in Drilling Bits: : Leveraging YOLO Detection for Dominant Failure Analysis

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Gnana Spandana Akumalla; [2023]
    Nyckelord :Computer vision; Image processing; Drill bit failure detection; CNN; YOLOv5; FNN; YOLOv8; Dataset; StyleGAN-ADA; Ethics; Sustainability; Artificial Intellegence; Tricone drill bit; Object detection.;

    Sammanfattning : Detecting failures in tricone drill bits is crucial in the mining industry due to their potential consequences, including operational losses, safety hazards, and delays in drilling operations. Timely identification of failures allows for proactive maintenance and necessary measures to ensure smooth drilling processes and minimize associated risks. LÄS MER

  4. 13. Feature Selection for Sensor Failure Detection in Manufacturing Environment

    Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Victor Knutmejer; Hannes Elfving; [2023]
    Nyckelord :AI; Artificiell Intelligens; Maskininlärning; Feature Selection;

    Sammanfattning : Automated manufacturing environments often benefit greatly from the ability to detect patterns that deviate from expected behavior. Anomaly Detection (AD) is vital in automated manufacturing to mitigate risks such as production delays, defects, and safety hazards, ensuring smooth operations and optimal productivity. LÄS MER

  5. 14. Kvinnors upplevelser av att genomgå en postpartumdepression : en litteraturöversikt

    Magister-uppsats, Sophiahemmet Högskola

    Författare :Madeleine Strömsten; Isabell Engström; [2023]
    Nyckelord :Experience; Mothers; Postpartum depression; Women; Kvinnor; Mammor; Postpartumdepression; Upplevelser;

    Sammanfattning : Postpartumdepression drabbar cirka 12–13 procent av alla nyblivna mammor runt om i världen. Symtom på postpartumdepression kan finnas redan under graviditeten eller uppträda efter det att barnet fötts. LÄS MER

  7. 15. Anomaly detection for prediction of failures in manufacturing environments : Machine learning based semi-supervised anomaly detection for multivariate time series to predict failures in a CNC-machine

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

    Författare :Felix Boltshauser; [2023]
    Nyckelord :Machine learning; Anomaly Detection; DeepAnT; ROCKET; OCSVM; manufacturing; predictive maintenance; Maskin inlärning; Anomali Detektion; DeepAnT; ROCKET; OCSVM; tillverkning; prediktivt underhåll;

    Sammanfattning : For manufacturing enterprises, the potential of collecting large amounts of data from production processes has enabled the usage of machine learning for prediction-based monitoring and maintenance of machines. Yet common maintenance strategies still include reactive handling of machine failures or schedule-based maintenance conducted by experienced personnel. LÄS MER