Ontology‐Based Noise Source Identification and Key Feature Selection: A Case Study on Tractor Cab

Su, Han; Zhou, Yiqi; Chen, Yanzhao; Wei, Chenglong; Li, Rui; Zhu, Bo

doi:10.1155/2019/6572740

Cited by 3 publications

(2 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Han et al [97] also apply ontology within the mechanical engineering domain, in particular the field of Noise, Vibration, and Harshness (NVH). Similar to the previous work, authors map important aspects of noise identification to ontological concepts, which serve as features for reasoning.…”

Section: Other Applicationsmentioning

confidence: 99%

Ontology-Based Feature Selection: A Survey

2021

View full text Add to dashboard Cite

The Semantic Web emerged as an extension to the traditional Web, adding meaning (semantics) to a distributed Web of structured and linked information. At its core, the concept of ontology provides the means to semantically describe and structure information, and expose it to software and human agents in a machine and human-readable form. For software agents to be realized, it is crucial to develop powerful artificial intelligence and machine-learning techniques, able to extract knowledge from information sources, and represent it in the underlying ontology. This survey aims to provide insight into key aspects of ontology-based knowledge extraction from various sources such as text, databases, and human expertise, realized in the realm of feature selection. First, common classification and feature selection algorithms are presented. Then, selected approaches, which utilize ontologies to represent features and perform feature selection and classification, are described. The selective and representative approaches span diverse application domains, such as document classification, opinion mining, manufacturing, recommendation systems, urban management, information security systems, and demonstrate the feasibility and applicability of such methods. This survey, in addition to the criteria-based presentation of related works, contributes a number of open issues and challenges related to this still active research topic.

show abstract

Section: Other Applicationsmentioning

confidence: 99%

Ontology-Based Feature Selection: A Survey

2021

View full text Add to dashboard Cite

show abstract

“…The interior noise level of a cab is an important performance indicator of agricultural tractors. The interior noise has four components: structure-borne noise, air-borne noise, internal-sources-radiated noise, and reverberation noise 6 . Structure-borne noise refers to the noise radiated from the cab structure owing to vibrations generated from the engine and transmission system.…”

Section: Introductionmentioning

confidence: 99%

Effect of sound insulation on noise reduction in an agricultural tractor cab

Han

Im²,

Choi³

et al. 2022

Sci Rep

View full text Add to dashboard Cite

Tractor cab interior noise is a risk factor that degrades operators’ work performance and threatens their health; therefore, the noise must be reduced to ensure farmworkers’ safety and efficiency. Cab interior noise can be classified as structure-borne noise and air-borne noise. Structure-borne noise has been extensively studied. However, although air-borne noise greatly contributes to cab interior noise, detailed frequency-domain analyses have not been performed. In this study, the components of cab interior noise were identified in the frequency domain through an order analysis, which helped improve the sound insulation of the cab and reduce the effects of air-borne noise. A test was performed while driving a tractor on a chassis dynamometer in a semi-anechoic chamber for reproducible measurement and evaluation. The A-weighted sound pressure was transformed by a fast Fourier transform algorithm, and its order was tracked by the engine speed signal. In addition, a direct path was identified by acoustic images using a sound camera. The contributions of major noise sources were identified through an order analysis. We proved that air-borne noise significantly contributes to the interior noise of tractor cabs and that improvement of the cab sound insulation is an effective noise-reduction technique.

show abstract

Unified modeling of a tractor performance prototype based on ontology

Zhou

Yan

2022

Trans. Can. Soc. Mech. Eng.

View full text Add to dashboard Cite

A tractor is a type of agricultural machinery with complex structure and harsh operating conditions. It is evolving toward a large-scale, multifunctional, and intelligent system. Digital prototype technology is an effective approach for experts in multidisciplinary fields to collaborate in the development of new tractor products. Tractor performance prototype design is an important part of realizing digital tractor design. In the modeling process, the performance prototype models designed by experts have a problem with inconsistent expressions, making tractor digital design difficult to implement. This study aims to investigate the unified modeling of a tractor performance prototype. The design process of the tractor performance prototype was analyzed according to the characteristics of new tractor product development. Combined with the ontology modeling method, the construction process of the tractor performance prototype ontology was designed. Based on ontology metamodel theory, a multidisciplinary unified modeling method for a tractor performance prototype is proposed, and an ontology metamodel architecture was constructed. Using a wheeled tractor as an example, a performance prototype ontology was designed. Subsequently, an ontology model was created and verified in Protégé. The results indicate that the model can be used for the digital design of new tractor product development. An ontology model database was established, which realized the sharing and management of ontology model data, and the effectiveness of the method was verified.

show abstract

Ontology‐Based Noise Source Identification and Key Feature Selection: A Case Study on Tractor Cab

Cited by 3 publications

References 25 publications

Ontology-Based Feature Selection: A Survey

Ontology-Based Feature Selection: A Survey

Effect of sound insulation on noise reduction in an agricultural tractor cab

Unified modeling of a tractor performance prototype based on ontology

Contact Info

Product

Resources

About