An Efficient Approach for Fault Detection, Isolation, and Data Recovery of Self-Validating Multifunctional Sensors

2017 ◽  
Vol 66 (3) ◽  
pp. 543-558 ◽  
Author(s):  
Jingli Yang ◽  
Yinsheng Chen ◽  
Lili Zhang
Sensor Review ◽  
2017 ◽  
Vol 37 (3) ◽  
pp. 223-236 ◽  
Author(s):  
Jingli Yang ◽  
Zhen Sun ◽  
Yinsheng Chen

Purpose This paper aims to enhance the reliability of self-validating multifunctional sensors. Design/methodology/approach An effective fault detection, isolation and data recovery (FDIR) strategy by using kernel principal component analysis (KPCA) coupled with gray bootstrap and fault reconstruction methods. Findings The proposed FDIR strategy is able to the address fault detection, isolation and data recovery problem of self-validating multifunctional sensors efficiently. Originality/value A KPCA-based model which can overcome the limitation of existing linear-based models is used to achieve the fault detection task. By using gray bootstrap method, the position of all faulty sensitive units can be calculated even under the multiple faults situation. A reconstruction-based contribution method is adopted to evaluate the amplitudes of the fault signals, and the fault-free output of the faulty sensitive units can be used to replace the fault output.


2018 ◽  
Vol 7 (3.12) ◽  
pp. 661
Author(s):  
P Anjaiah ◽  
C Raghavendra ◽  
K Rajendra Prasad

The expanded rate of development and adaption of distributed computing, day by day, more delicate data is being brought together onto the cloud. For the security of profitable data, the information must be encoded before externalization. The current inquiry procedures enable the client to seek over encoded information utilizing keyword yet these methods represent just correct hunt. There is no resilience for grammatical errors and organization irregularities which are typical client conduct. This makes compelling information stockpiling and use an exceptionally difficult errand, providing client seeking extremely baffling and wasteful. In this paper, we concentrate on secure capacity utilizing Advanced Encryption Standard (AES) and data recovery by performing Fuzzysearch on information which is scrambled while transferring on the cloud. We are proposing the execution of a progressed Fuzzykeywordtechnique called the Wildcard based procedures which restores the coordinating records when clients seeking inputs definitely coordinate the predefined keyword or the nearest conceivable coordinating documents in light of likeness catchphrase semantics when correct match comes up short. In the proposed method, using alter separation to measure keywords similitude and build up a proficient strategies for developing fuzzy keyword sets, which concentrate on diminishing the capacity and portrayal overtop.   


Informatica ◽  
2019 ◽  
Vol 30 (4) ◽  
pp. 671-687 ◽  
Author(s):  
Esteban Jove ◽  
José-Luis Casteleiro-Roca ◽  
Héctor Quintián ◽  
Juan-Albino Méndez-Pérez ◽  
José Luis Calvo-Rolle

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