Browsing Institutt for maskinteknikk og produksjon by Author "Tamascelli, Nicola"

Now showing items 1-5 of 5

    • A data-driven approach to improve control room operators' response 

      Tamascelli, Nicola; Scarponi, Giordano; Paltrinieri, Nicola; Cozzani, Valerio (Peer reviewed; Journal article, 2021)

    • A Machine Learning Approach to Predict Chattering Alarms 

      Tamascelli, Nicola (Master thesis, 2020)
      The alarm system plays a vital role to grant safety and reliability in the process industry. Ideally, an alarm should inform the operator about critical conditions only, and a set of corrective actions should be associated ...

    • Development of Data-Driven Methods for Dynamic Risk Management in the Chemical Industry 

      Tamascelli, Nicola (Doctoral theses at NTNU;2024:20, Doctoral thesis, 2024)
      Large amounts of hazardous substances are handled and stored in chemical facilities, elevating the risk of accidental releases with potentially disastrous consequences. Over the past three decades, there has been a significant ...

    • A machine learning approach to predict chattering alarms 

      Tamascelli, Nicola; Arslan, Tufan; Shah, Sirish L.; Paltrinieri, Nicola; Cozzani, Valerio (Peer reviewed; Journal article, 2020)
      The alarm system plays a vital role to ensure safety and reliability in the process industry. Ideally, an alarm should inform the operator about critical conditions only and provide guidance to a set of corrective actions ...

    • Online Classification of Alarm Floods Using a Word2vec Algorithm 

      Tamascelli, Nicola; Mohan Rao, Harikrishna Rao; Cozzani, Valerio; Paltrinieri, Nicola; Chen, Tongwen (Chapter, 2023)
      Alarm floods are periods of intense alarm activity that may hinder control room operators' ability to diagnose and respond to process abnormalities. In this context, a method to guide and assist operators during alarm ...