Distributionally robust trade‐off design of parity relation based fault detection systems

2021 ◽  
Author(s):  
Yiming Wan ◽  
Yujia Ma ◽  
Maiying Zhong
Keyword(s):  
Fault Detection ◽  
Trade Off ◽  
Detection Systems ◽  
Distributionally Robust ◽  
Parity Relation

An integrated trade-off design of observer based fault detection systems

Automatica ◽  
2008 ◽  
Vol 44 (7) ◽  
pp. 1886-1894 ◽  
Author(s):  
Ping Zhang ◽  
Steven X. Ding
Keyword(s):  
Fault Detection ◽  
Trade Off ◽  
Detection Systems

scholarly journals Probabilistic robust parity relation for fault detection using polynomial chaos

2017 ◽  
Vol 50 (1) ◽  
pp. 1019-1024 ◽  
Author(s):  
Yiming Wan ◽  
Eranda Harinath ◽  
Richard D. Braatz
Keyword(s):  
Fault Detection ◽  
Polynomial Chaos ◽  
Parity Relation

Edge-based Explainable Fault Detection Systems for photovoltaic panels on edge nodes

2021 ◽  
Author(s):  
Seshapalli Sairam ◽  
Subathra Seshadhri ◽  
Giancarlo Marafioti ◽  
Seshadhri Srinivasan ◽  
Geir Mathisen ◽  
...  
Keyword(s):  
Fault Detection ◽  
Photovoltaic Panels ◽  
Detection Systems ◽  
Edge Based

scholarly journals A Review of Performance, Energy and Privacy of Intrusion Detection Systems for IoT

Electronics ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 629 ◽  
Author(s):  
Junaid Arshad ◽  
Muhammad Ajmal Azad ◽  
Roohi Amad ◽  
Khaled Salah ◽  
Mamoun Alazab ◽  
...  
Keyword(s):  
Intrusion Detection ◽  
Resource Constraints ◽  
Extensive Study ◽  
Intrusion Detection Systems ◽  
Detection Accuracy ◽  
Trade Off ◽  
Detection Systems ◽  
Computational Overhead ◽  
Significant Research ◽  
And Performance

Internet of Things (IoT) forms the foundation of next generation infrastructures, enabling development of future cities that are inherently sustainable. Intrusion detection for such paradigms is a non-trivial challenge which has attracted further significance due to extraordinary growth in the volume and variety of security threats for such systems. However, due to unique characteristics of such systems i.e., battery power, bandwidth and processor overheads and network dynamics, intrusion detection for IoT is a challenge, which requires taking into account the trade-off between detection accuracy and performance overheads. In this context, we are focused at highlighting this trade-off and its significance to achieve effective intrusion detection for IoT. Specifically, this paper presents a comprehensive study of existing intrusion detection systems for IoT systems in three aspects: computational overhead, energy consumption and privacy implications. Through extensive study of existing intrusion detection approaches, we have identified open challenges to achieve effective intrusion detection for IoT infrastructures. These include resource constraints, attack complexity, experimentation rigor and unavailability of relevant security data. Further, this paper is envisaged to highlight contributions and limitations of the state-of-the-art within intrusion detection for IoT, and aid the research community to advance it by identifying significant research directions.

scholarly journals Fault detection for uncertain LPV systems using probabilistic set-membership parity relation

2020 ◽  
Vol 87 ◽  
pp. 27-36 ◽  
Author(s):  
Yiming Wan ◽  
Vicenç Puig ◽  
Carlos Ocampo-Martinez ◽  
Ye Wang ◽  
Eranda Harinath ◽  
...  
Keyword(s):  
Fault Detection ◽  
Lpv Systems ◽  
Set Membership ◽  
Parity Relation

Gradient-based fuzzy fault isolation in residual-based fault detection systems

2014 ◽  
Author(s):  
Francisco Serdio ◽  
Edwin Lughofer ◽  
Kurt Pichler ◽  
Thomas Buchegger ◽  
Markus Pichler ◽  
...  
Keyword(s):  
Fault Detection ◽  
Fault Isolation ◽  
Detection Systems ◽  
Gradient Based
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