Results 31 to 40 of about 20,102 (279)
A data enlargement strategy for fault classification through a convolutional auto-encoder
The amount of data is of crucial to the accuracy of fault classification through machine learning techniques. In wind energy harvest industry, due to the shortage of faulty data obtained in real practice, together with ever changing operational ...
Hao Cui +4 more
doaj +1 more source
Uncertainty plays an important role in diagnostics, prognostics, and health management of engineering systems. The presence of uncertainty leads to an imprecise understanding of the behavior of such systems; as a result, this may adversely affect the ...
Shankar Sankararaman +2 more
doaj +1 more source
Lithium-Ion Battery Prognostics through Reinforcement Learning Based on Entropy Measures
Lithium-ion is a progressive battery technology that has been used in vastly different electrical systems. Failure of the battery can lead to failure in the entire system where the battery is embedded and cause irreversible damage.
Alireza Namdari +2 more
doaj +1 more source
Framework for a Hybrid Prognostics
Fault detection and isolation, or fault diagnostic, of physical systems has been subject of several interesting works. Detecting and isolating faults may be convenient for some applications where the fault does not have severe consequences on humans as ...
K. Medjaher, N. Zerhouni
doaj +1 more source
Vibration Resonance Spectrometry (VRS) for the Advanced Streaming Detection of Rotor Unbalance
Determination of the diagnosis thresholds is crucial for the fault diagnosis of industry assets. Rotor machines under different working conditions are especially challenging because of the dynamic torque and speed.
Matthew T. Gerdes +5 more
doaj +1 more source
Policy, Regulations and Standards in Prognostics and Health Management [PDF]
As the field of PHM matures, it needs to be aware of the regulations, policies, and standards that will both impose boundaries as well as provide guidance for operations.
Kai Goebel +3 more
core +1 more source
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source
A novel framework to link prognostics and health management and product-service systems using online simulation [PDF]
Product-Service Systems (PSS) and Prognostics and Health Management (PHM) have so far been researched individually in different domains and as unrelated research theme.
Alfaro, Sadek Crisóstomo Absi +5 more
core +1 more source
Solid Pseudopapillary Neoplasm of the Pancreas in Children and Adolescents: Expert Recommendations
ABSTRACT Solid pseudopapillary neoplasm of the pancreas (SPN) is a rare low‐grade malignant exocrine pancreatic tumor, mostly discovered during the second decade of life in females, with a very good prognosis, provided microscopically complete surgical excision is achieved.
Sabine Irtan +18 more
wiley +1 more source
Prognostics for a Leaking Hydraulic Actuator Based on the F-Distribution Particle Filter
Particle filter has been developing prosperously in the prognostics field and is being applied with success in prognostics of complex systems or components. The existing research works on the prognostic process demonstrate that the state prediction phase
Runxia Guo, Quan Gan
doaj +1 more source

