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Jeevith Hegde
Norwegian University of Science and Technology
EngineeringRemotely operated underwater vehicleReliability engineeringSubseaUnderwater
14Publications
4H-index
37Citations
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Publications 14
Newest
#1Christoph Alexander Thieme (NTNU: Norwegian University of Science and Technology)H-Index: 4
#2Ali Mosleh (UCLA: University of California, Los Angeles)H-Index: 3
Last. Jeevith Hegde (NTNU: Norwegian University of Science and Technology)H-Index: 4
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Abstract The advent of autonomous cars, drones, and ships, the complexity of these systems is increasing, challenging risk analysis and risk mitigation, since the incorporation of software failures intro traditional risk analysis currently is difficult. Current methods that attempt software risk analysis, consider the interaction with hardware and software only superficially. These methods are often inconsistent regarding the level of analysis and cover often only selected software failures. Thi...
3 CitationsSource
#1Christoph Alexander Thieme (NTNU: Norwegian University of Science and Technology)H-Index: 4
#2Ali Mosleh (UCLA: University of California, Los Angeles)H-Index: 31
Last. Jeevith Hegde (NTNU: Norwegian University of Science and Technology)H-Index: 4
view all 4 authors...
Abstract Advanced technological systems consist of a combination of hardware and software, and they are often operated or supervised by a human operator. Failures in software-intensive systems may be difficult to identify, analyze, and mitigate, owing to system complexity, system interactions, and cascading effects. Risk analysis of such systems is necessary to ensure safe operation. The traditional approach to risk analysis focuses on hardware failures and, to some extent, on human and organiza...
2 CitationsSource
#1Jeevith Hegde (NTNU: Norwegian University of Science and Technology)H-Index: 4
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Abstract The purpose of this article is to present a structured review of publications utilizing machine learning methods to aid in engineering risk assessment. A keyword search is performed to retrieve relevant articles from the databases of Scopus and Engineering Village. The search results are filtered according to seven selection criteria. The filtering process resulted in the retrieval of one hundred and twenty-four relevant research articles. Statistics based on different categories from t...
6 CitationsSource
#1Stian Skaalvik Sandoy (NTNU: Norwegian University of Science and Technology)H-Index: 1
#2Jeevith Hegde (NTNU: Norwegian University of Science and Technology)H-Index: 4
Last. Ingrid Bouwer Utne (NTNU: Norwegian University of Science and Technology)H-Index: 20
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Abstract This article presents a novel 2.5D map representation, termed polar map, that has a memory consumption of O(ML), where M and L depend on the map's angular and depth resolution, respectively. The map has a computational effort of O(1) in the update and evaluation process, where updates are performed through the use of Kalman filters. The representation can only be applied to structures in an environment that can be represented uniquely in a cylindrical coordinate system, such as fish cag...
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#1Jeevith Hegde (NTNU: Norwegian University of Science and Technology)H-Index: 4
#2Eirik Hexeberg Henriksen (NTNU: Norwegian University of Science and Technology)H-Index: 3
Last. Ingrid Schjølberg (NTNU: Norwegian University of Science and Technology)H-Index: 10
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Abstract This article presents the process used to develop safety envelopes and subsea traffic rules for autonomous remotely operated vehicles (AROVs) used in subsea inspection, maintenance, and repair (IMR) operations. Preventing loss of subsea assets and the AROV is the overall goal of the proposed safety envelopes and subsea traffic rules. Currently, no such envelopes and rules exist. The safety envelope for the AROV is constructed using an Octree method. The proposed subsea traffic rules are...
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#1Jeevith HegdeH-Index: 4
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The introduction of autonomy in subsea operations may affect operational risk related to Inspection, Maintenance, and Repair (IMR). This article proposes a Bayesian Belief Network (BBN) to model the risk affecting autonomous subsea IMR operations. The proposed BBN risk model can be used to calculate the probability of aborting an autonomous subsea IMR operation. The nodes of the BBN are structured using three main categories, namely technical, organizational, and operational. The BBN is tested f...
2 CitationsSource
#1Jeevith HegdeH-Index: 4
Last. Ingrid SchjølbergH-Index: 10
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Last. Jeevith HegdeH-Index: 4
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#1Jeevith HegdeH-Index: 4
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