Peng Jiang

ORCID: 0000-0003-4210-8346
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About
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Research Areas
  • Ultrasonics and Acoustic Wave Propagation
  • Advanced Algorithms and Applications
  • Smart Materials for Construction
  • Non-Destructive Testing Techniques
  • Mechanical Behavior of Composites
  • Structural Integrity and Reliability Analysis
  • Machine Fault Diagnosis Techniques
  • Evaluation Methods in Various Fields
  • Structural Health Monitoring Techniques
  • Advanced Computational Techniques and Applications
  • Engineering Diagnostics and Reliability
  • Advanced Sensor and Control Systems
  • Geoscience and Mining Technology
  • Hydrogen embrittlement and corrosion behaviors in metals
  • Industrial Technology and Control Systems
  • Microbial Metabolism and Applications
  • Phytochemicals and Antioxidant Activities
  • Material Properties and Failure Mechanisms
  • Postharvest Quality and Shelf Life Management
  • Infrastructure Maintenance and Monitoring
  • Geophysical Methods and Applications
  • Metallurgy and Material Forming
  • Fatigue and fracture mechanics
  • Microstructure and Mechanical Properties of Steels
  • IoT-based Smart Home Systems

Northeast Petroleum University
2011-2025

China Special Equipment Inspection and Research Institute
2024

Ningxia University
2024

Shanghai Maritime University
2024

Kunming University
2023

Zhejiang University
2012-2021

Chongqing Academy of Agricultural Sciences
2020

Beijing Jiaotong University
2017

Hefei Municipal Design and Research Institute (China)
2016

Sichuan University of Science and Engineering
2013-2014

Abstract Mature‐green cherry tomato fruits ( Lycopersicon esculentum cv. Jinyu) were exposed to different power densities of ultrasound (66.64, 106.19, and 145.74 W/L) at 25 °C study non‐thermal effects on the storage properties. Among three levels irradiation, 106.19 W/L was effective in reducing spoilage microorganisms, delaying postharvest ripening through inhibiting ethylene production respiration rates, consequently maintaining fruit firmness, flavor, enzyme activities, antioxidants...

10.1111/1750-3841.12955 article EN Journal of Food Science 2015-09-16

10.1016/j.conbuildmat.2017.04.119 article EN Construction and Building Materials 2017-04-28

Damage detection and the classification of carbon fiber-reinforced composites using non-destructive testing (NDT) techniques are great importance. This paper applies an acoustic emission (AE) technique to obtain AE data from three tensile damage tests determining fiber breakage, matrix cracking, delamination. article proposes a deep learning approach that combines state-of-the-art for time series classification: InceptionTime model with in composite materials. Raw frequency-domain sequence...

10.3390/ma15124270 article EN Materials 2022-06-16

Abstract Hydrogen storage composite pressure vessels may fail under sudden internal increases or external structural impacts, potentially leading to explosions and other serious consequences. Acoustic emission (AE) detection technology offers notable advantages for identifying damage evaluating the performance of vessels. This paper conducts a hydraulic burst test on Type IV glass fiber‐wound vessel study evolution behavior. A method that integrates qualitative analysis utilizing Gaussian...

10.1002/pc.29814 article EN Polymer Composites 2025-03-24

This paper explores the use of a deep learning approach combining ResNet50 model and CBAM-SE (Convolutional Block Attention Module with Squeeze-and-Excitation) for bolt fault diagnosis in noisy industrial environment. The aim study is to improve model's immunity different noise conditions, covering fluid noise, impact periodic mixed noise. Experimental results show that ResNet50+CBAM-SE outperforms conventional CNN models all cases, especially when dealing complex disturbances.The addition...

10.54097/a6mcej19 article EN cc-by-nc Highlights in Science Engineering and Technology 2025-03-25

_ As a key to assessing productivity and cost control, man-hour is an important basis for scheduling planning in shipyards. Aiming at the lack of underlying data on ship production design man-hour, which makes it difficult predict, resulting delivery delays, overruns, management confusion. This paper proposes expansion prediction model with improved generative adversarial network (WGAN-GP) human evolutionary optimization algorithm optimized BP neural (HEOABP). First, under premise full...

10.5957/jspd.04240011 article EN Journal of Ship Production and Design 2025-04-11

This study investigated the mechanism of delamination damage in double cantilever beam (DCB) standard test by use strain energy release rate. The curve rate was verified Rise Angle (RA) method. For this purpose, 24-layer carbon fiber/epoxy multidirectional laminates with interface orientations 0°, 30°, 45°, and 60° were fabricated according to ASTM D5528(13). In course test, acoustic emission (AE) used for real-time monitoring, combined micro visualization, composite studied at multiple...

10.3390/ma15041483 article EN Materials 2022-02-16

Abstract Wind power generation, as a paragon of clean energy, places great importance on the reliability its equipment. Bearings, in particular, core components wind turbines, have direct correlation with stable operation and economic benefits entire system. Against this backdrop, addressing challenges field bearing fault diagnosis, an innovative diagnosis method has been proposed. For first time, Swin Transformer deep learning model is combined acoustic emission (AE) technology, through...

10.1115/1.4065754 article EN ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering 2024-06-19

Bitterness in dried jujube fruit can adversely influence its palatability and consumer acceptability. In the present investigation, sensory-guided fractionation with techniques of liquid–liquid extraction, macroporous resin separation, LC-MS/QTof was applied to identify bitter compounds (Z. jujuba cv. junzao). The results showed that substances be successfully extracted from using ethanol followed by n-butanol solution. extract could then further separated into five fractions utilizing...

10.1080/10942912.2017.1288133 article EN International Journal of Food Properties 2017-02-21

This study characterized the damage characteristics of carbon fiber composite pressure vessels by modal acoustic emission (MAE) method. The showed how to use extracted features and established MAE parameters determine mode vessels. First, A0 S0 Lamb modes AE signal were split through separation, time window was selected establish characteristic parameters. Subsequently, based on from single experiments, a discrimination method established. A bending test laminates proved that separation...

10.3390/ma15144783 article EN Materials 2022-07-08

By taking advantage of the low cost and high flexibility UAV, "truck-UAV" joint distribution mode is considered to be introduced into logistics "last kilometer" distribution. Considering limitations UAV such as endurance load capacity, considering customer demand exceeding time window requirements, optimization model built with minimum total operating goal. According characteristics problem, spatio-temporal clustering introduced, a two-stage solution method proposed. The effectiveness...

10.1117/12.3024065 article EN International Conference on Smart Transportation and City Engineering (STCE 2022) 2024-02-14

Abstract The application of fertilizers and soil quality are crucial for grape fruit quality. However, the molecular data linking different fertilizer (or conditioner [SC]) treatments with is still lacking. In this study, we investigated three treatments, namely inorganic (NPK, 343.5 kg/hm 2 urea [N ≥ 46%]; 166.5 P O 5 [P 64%]; 318 K [K 50%]), organic (Org, 9 t/hm [organic matter content 35%, N + 13%]), SC (SC, 3 [humic acid 38.5%; C, 56.1%; H, 3.7%; N, 1.5%; O, 38%; S, 0.6%]), on 4-year-old...

10.1515/biol-2022-0864 article EN cc-by-nc-nd Open Life Sciences 2024-01-01

The bimetals with high strength and toughness are expected to replace traditional single materials in the wear resistance field. In present study, a vanadium alloy steel (HVAS) was cladding on low carbon (LCS), microstructure mechanical properties of HVAS/LCS bimetal before after heat treatments were investigated. Microstructure HVAS is Mo-rich V-rich eutectic carbides distributed pearlite matrix. After quenched, pearlites transformed martensites that amount tiny secondary carbides. hardened...

10.1016/j.jmrt.2021.02.007 article EN cc-by-nc-nd Journal of Materials Research and Technology 2021-02-10

This research utilized the sooty tern optimization algorithm-variational mode decomposition (STOA-VMD) algorithm to extract acoustic emission (AE) signal associated with damage in fiber-reinforced composite materials. The effectiveness of this was validated through a tensile experiment on glass fiber/epoxy NOL-ring specimens. To solve problems high degree aliasing, randomness, and poor robustness AE data damage, reconstruction method optimized variational (VMD) first used reconstruct...

10.3390/polym15122647 article EN Polymers 2023-06-11

Peach is a perishable fruit that quickly loses its aroma and bioactive components during storage. In this article, we evaluated the effect of treatment with 1-methylcyclopropene (1-MCP) on quality stored peaches depending shelf-life temperature. Ethylene production content were determined using gas chromatography mass spectrometry (GC-MS). Polyphenol levels monitored high-performance liquid (HPLC), antioxidant capacity peach samples was 2,2-diphenyl-1 picrylhydrazyl (DPPH),...

10.15586/qas.v12i2.717 article EN Quality Assurance and Safety of Crops & Foods 2020-06-27

The method of fast non-destructive testing for aluminium sheaths high-voltage (HV) cables using ultrasonic-guided waves is proposed. dispersion curve calculated by solving the equation from simplified model HV cables; thus, appropriate wave mode and excitation frequency can be chosen. Three defects including crack, perforation, sag have been set up. Then, simulation experiments carried out based on theoretical analysis finite element simulation. results show that cracks with loss ratio...

10.1049/joe.2018.8738 article EN cc-by The Journal of Engineering 2018-10-26
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