What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Mechanical engineering
- Electrical engineering
His primary areas of study are Fault, Pattern recognition, Artificial intelligence, Hilbert–Huang transform and Feature extraction.
Yanyang Zi has researched Fault in several fields, including Feature, Electronic engineering and Signal, Noise, Signal processing.
Yanyang Zi works mostly in the field of Feature, limiting it down to concerns involving Algorithm and, occasionally, Pattern recognition.
His Pattern recognition study combines topics from a wide range of disciplines, such as Artificial neural network and Data mining.
His work deals with themes such as Vibration and Instantaneous phase, which intersect with Hilbert–Huang transform.
His Vibration study incorporates themes from Wavelet packet decomposition and Bearing.
His most cited work include:
- Application of the EEMD method to rotor fault diagnosis of rotating machinery (343 citations)
- Fault diagnosis of rotating machinery based on improved wavelet package transform and SVMs ensemble (292 citations)
- Fault diagnosis of rotating machinery based on multiple ANFIS combination with GAs (287 citations)
What are the main themes of his work throughout his whole career to date?
Yanyang Zi mainly focuses on Fault, Algorithm, Vibration, Wavelet and Signal.
Yanyang Zi has included themes like Control theory, Feature extraction, Artificial intelligence, Pattern recognition and Bearing in his Fault study.
His Algorithm research incorporates elements of Feature, Noise, Fault detection and isolation, Signal processing and Hilbert–Huang transform.
His studies in Noise integrate themes in fields like Signal-to-noise ratio and Noise reduction.
Yanyang Zi focuses mostly in the field of Vibration, narrowing it down to matters related to Structural engineering and, in some cases, Impeller.
Yanyang Zi works mostly in the field of Signal, limiting it down to topics relating to Electronic engineering and, in certain cases, Optical storage and Optical disc, as a part of the same area of interest.
He most often published in these fields:
- Fault (39.07%)
- Algorithm (37.75%)
- Vibration (29.80%)
What were the highlights of his more recent work (between 2018-2021)?
- Algorithm (37.75%)
- Fault (39.07%)
- Vibration (29.80%)
In recent papers he was focusing on the following fields of study:
His main research concerns Algorithm, Fault, Vibration, Bearing and Feature extraction.
His Algorithm study combines topics in areas such as Mechanical system, Blind signal separation, Identification, Representation and Noise.
His biological study spans a wide range of topics, including Convolution, Discriminator, Wavelet transform and Fault detection and isolation.
His Fault research is multidisciplinary, incorporating perspectives in Real-time computing, Dimensionality reduction, Principal component analysis, Synthetic data and Pattern recognition.
The Vibration study combines topics in areas such as Discontinuity, Bending moment, Stress, Energy and Computer simulation.
The concepts of his Bearing study are interwoven with issues in Signal, Geodesic, Block, Wire rope and Euclidean distance.
Between 2018 and 2021, his most popular works were:
- Switching State-Space Degradation Model With Recursive Filter/Smoother for Prognostics of Remaining Useful Life (24 citations)
- A novel underdetermined blind source separation method with noise and unknown source number (11 citations)
- A novel vibration modeling method for a rotating blade with breathing cracks (7 citations)
In his most recent research, the most cited papers focused on:
- Mechanical engineering
- Artificial intelligence
- Electrical engineering
Representation, Algorithm, Braking system, Analysis method and Automotive engineering are his primary areas of study.
His Representation study integrates concerns from other disciplines, such as Diesel fuel, Crankshaft, Diesel engine, Real-time computing and Frequency domain.
His Algorithm research is multidisciplinary, relying on both Prognostics, State space and Noise.
You can notice a mix of various disciplines of study, such as System safety and Hazard analysis, in his Braking system studies.
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