Task-sequencing meta learning for intelligent few-shot fault diagnosis with limited data

Y Hu, R Liu, X Li, D Chen, Q Hu - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
… gent diagnosis methods. To address the few-shot fault diagnosis problem, a task-sequencing
meta-… over a series of learning tasks to obtain knowledge about how to diagnosis. Thus, the …

Sequential testing algorithms for multiple fault diagnosis

M Shakeri, V Raghavan, KR Pattipati… - IEEE transactions on …, 2000 - ieeexplore.ieee.org
… details become available), bottom-up (for system integration tasks) or a combination of both
[3]–[… sequencing algorithms for multiple fault diagnosis, using the single fault test sequencing

Rollout strategies for sequential fault diagnosis

F Tu, KR Pattipati - IEEE Transactions on Systems, Man, and …, 2003 - ieeexplore.ieee.org
sequencing problem and describe the optimal and approximation algorithms for solving the
test sequencing … tracking, and scheduling of parallelizable tasks on multiprocessor systems. …

Sequential fault diagnosis based on LSTM neural network

H Zhao, S Sun, B Jin - Ieee Access, 2018 - ieeexplore.ieee.org
… suit the fault diagnosis task and … time sequences by non-linear gating units regulate the
information into and out of the memory cells of LSTM. In this paper, We propose a fault diagnosis

A rule-based model of human problem solving performance in fault diagnosis tasks

WB Rouse, SH Rouse… - IEEE Transactions on …, 1980 - ieeexplore.ieee.org
… human fault diagnosis behavior in terms of sequencesfault diagnosis tasks. Using data
from three experiments that included data for 118 subjects for Task One and 36 subjects for Task

Real-time fault diagnosis [robot fault diagnosis]

V Verma, G Gordon, R Simmons… - IEEE Robotics & …, 2004 - ieeexplore.ieee.org
… In a simulation of the Hyperion robot [63], we explicitly introduced faults and recorded a
sequence of controls and measurements that were then tracked by a RSPF and a CPF. In the …

A survey of fault diagnosis and fault-tolerant techniques—Part I: Fault diagnosis with model-based and signal-based approaches

Z Gao, C Cecati, SX Ding - IEEE transactions on industrial …, 2015 - ieeexplore.ieee.org
Fault detection is the most basic task of the fault diagnosis, which is used to check
whether … event has occurred or not in the past by using sequences of observable events [118]. …

[HTML][HTML] Enhancing Fault Diagnosis in Industrial Processes through Adversarial Task Augmented Sequential Meta-Learning

D Sun, Y Fan, G Wang - Applied Sciences, 2024 - mdpi.com
… to diverse operational scenarios and fault manifestations. This … fault-diagnosis capabilities.
Furthermore, ATASML’s strategic incorporation of task sequencing and adversarial tasks

Monitoring and fault diagnosis of hybrid systems

F Zhao, X Koutsoukos, H Haussecker… - … on Systems, Man …, 2005 - ieeexplore.ieee.org
… Utility-driven sensor querying selects sequences of sensor tests based on their … The task
of the monitoring algorithm after a fault occurrence is to update the consequence sequences

Railway track circuit fault diagnosis using recurrent neural networks

T De Bruin, K Verbert, R Babuška - IEEE transactions on neural …, 2016 - ieeexplore.ieee.org
… approach to fault diagnosis in railway track circuits. The fault diagnosis task comprises the
… ) is the healthy state, unless the sequence contains a fault for which the severity at that time …