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ATE hardware diagnostics, fault detection, and fault isolation tool (self-test adapter)

AUTOTESTCON '88. Symposium Proceedings IEEE International Automatic Testing Conference, Futuretest., 2003
The question of multiple levels of self-test for automatic test equipment (ATE) is examined, and a three-level self-test concept is proposed. Level one will verify test resource communications and built-in test (BIT), level two will check all of the switching resources, and level three will test the measurement and output stimulus resources.
openaire   +1 more source

Multivariate statistical signal processing technique for fault detection and diagnostics

ISA Transactions, 1990
Abstract The normal fluctuation of wideband signals in process industry systems exhibits behavior that is characteristic of process dynamics, sensor dynamics, vibration of components, and product quality. A baseline statistical signature behavior can be established by a systematic processing of multivariate signals and determining the cause and ...
B.R. Upadhyaya, O. Glockler, J. Eklund
openaire   +1 more source

Real-Time Fault Detection and Diagnostics Using FPGA-based Architectures

2010 International Conference on Field Programmable Logic and Applications, 2010
A new methodology for radiation induced real-time fault detection and diagnosis, utilizing FPGA-based architectures was developed. The methodology includes a full test platform to evaluate a circuit while under radiation and an algorithm to detect and diagnose fault locations within a circuit using Triple Design Triple Modular Redundancy (TDTMR).
Nathan Naber   +3 more
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Fault Detection and Diagnostic System for an Industrial Refrigeration Installation

IFAC Proceedings Volumes, 1997
Abstract This paper describes the application of quantitative model-based FDI to the refrigerator system a food processing plant. This represents a critical part of the plant from a maintenance cost point of view. The main system is a thermofluid process in which an ammonia thermodynamic process is used for cooling purposes.
Luis J. de Miguel   +3 more
openaire   +1 more source

Feature Engineering for Ball Bearing Combined-Fault Detection and Diagnostic

2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED), 2019
The non detection of bearing faults in rotating machines can lead to less availability, reliability and safety while increasing the maintenance costs due to unexpected breakdowns and urgent repairing. This paper deals with feature engineering to enhance the performance of an early fault detection and diagnostic of ball bearings of asynchronous ...
A. Khlaief   +7 more
openaire   +1 more source

Vehicle Diagnostics Method by Anomaly Detection and Fault Identification Software

SAE International Journal of Passenger Cars - Electronic and Electrical Systems, 2009
<div class="htmlview paragraph">A new approach is proposed for fault detection. It builds on using the relationships between sensor values on vehicles to detect deviating sensor readings and trends in the system performance. However, in contrast to previous approaches based on such sensor relations, our approach uses a fleet of vehicles to define
Magnus Svensson   +2 more
openaire   +1 more source

Application Studies, Part-II: Fault Detection and Diagnostics

2017
As mentioned at the outset, the main purpose of this research is to develop a Fault Detection and Diagnosis (FDD) method that accommodates nonlinear characteristics of the system, variable operating conditions, signals from all possible sources and a diagnostic result with some imprecision targeted at emulating operators way of describing faulty ...
openaire   +1 more source

Contrastive Feature Learning for Fault Detection and Diagnostics

Proceedings of the 31st European Safety and Reliability Conference (ESREL 2021), 2021
Katharina Rombach   +2 more
openaire   +1 more source

Fault detection and diagnostic for air conditioning system

AIP Conference Proceedings, 2023
M. F. M. Alkbir   +4 more
openaire   +1 more source

Automated Fault Detection and Diagnostics for Vapor Compression Cooling Equipment

Journal of Solar Energy Engineering, 2003
This paper provides an overview of research related to automated fault detection and diagnosis for chillers, packaged air conditioners, and other vapor compression cooling equipment. The paper discusses the benefits, constraints, and possible products for FDD applied in the HVAC&R industry, presents results of fault surveys for packaged air ...
openaire   +1 more source

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