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  1. Article: A novel fault diagnosis strategy for LED lamps via light output time-frequency characteristics analysis and machine learning.

    Shang, Yuhang / Sun, Fukang / Fang, Qiansheng / Chen, Bailing / Xie, Jianxia

    Heliyon

    2023  Volume 9, Issue 9, Page(s) e19737

    Abstract: Faulty LED lamps can cause a decrease in light efficiency, lead to flicker, and have a negative impact on creating a reliable, stable, and healthy light environment. However, many LED lamps' faults are difficult to detect by electrical parameter ... ...

    Abstract Faulty LED lamps can cause a decrease in light efficiency, lead to flicker, and have a negative impact on creating a reliable, stable, and healthy light environment. However, many LED lamps' faults are difficult to detect by electrical parameter measurements or naked-eye observation. Consequently, in this paper, a novel fault diagnosis strategy is proposed by analyzing light output time-frequency characteristics of LED lamps. The proposed fault diagnosis strategy contains three stages: (1) collecting the light output signal of LED lamps, (2) extracting the light output time-frequency characteristics of LED lamps by VMD and energy entropy calculation, and (3) employing SVM to construct the fault diagnosis model which used to identify the faulty LED lamps. To validate the feasibility and effectiveness of the proposed fault diagnosis strategy, simulation experiments are conducted, and the light output signals of LED lamps are collected as experiment datasets using the 10 kHz sampling frequency. The results demonstrate that the proposed fault diagnosis strategy can identify faults effectively, and average accuracy rate can reach to over 92%. This study can help promote the development of large-scale LED lamp maintenance management technology, and bring great benefits for the reliable and healthy operation of large-scale LED lamps particularly.
    Language English
    Publishing date 2023-09-01
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2023.e19737
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Lighting control method based on the natural illumination model and the personnel movement model

    Fang Qiansheng / Tu Chang / Xie Chenlei

    E3S Web of Conferences, Vol 79, p

    2019  Volume 01013

    Abstract: Since the light control module and communication module connected by the CAN bus, the traditional and centralized lighting control system has a high cost of maintenance. Meanwhile, the connecting way relied on the CAN bus is hard to achieve energy saving. ...

    Abstract Since the light control module and communication module connected by the CAN bus, the traditional and centralized lighting control system has a high cost of maintenance. Meanwhile, the connecting way relied on the CAN bus is hard to achieve energy saving. It’s entirely possible to improve the efficiency by using the design of distributed non-central platform, we proposed a new lighting control simulation system based on the natural illumination model and the personnel movement model. Considering that all influencing factors of the real light environment, this paper calculated the illumination of light source on the working surface and the natural illumination in the room by the method of azimuth coefficient and boundary integral. Furthermore, in order to decrease energy consumption, we introduced the Markov transfer matrix to describe the position changes of staff to control the light intensity of the office. Though the simulation results, the proposed lighting control system in this paper is demonstrated that can save more lighting energy consumption in comparison with traditional and centralized lighting control system.
    Keywords Environmental sciences ; GE1-350
    Subject code 690
    Language English
    Publishing date 2019-01-01T00:00:00Z
    Publisher EDP Sciences
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Optimal layout of pressure monitoring points in water supply network based on Optics

    Xie ChenLei / Fang QianSheng / Zhang HongYan / Zhang JiXin

    E3S Web of Conferences, Vol 79, p

    2019  Volume 01015

    Abstract: It is necessary to monitor the pressure in the networks in real time, when we face the problem of pipe burst and leakage in urban water supply network. Therefore, it is particularly important to arrange pressure monitoring points in appropriate places in ...

    Abstract It is necessary to monitor the pressure in the networks in real time, when we face the problem of pipe burst and leakage in urban water supply network. Therefore, it is particularly important to arrange pressure monitoring points in appropriate places in the pipeline networks. The pressure monitoring point layout is often based on similar degree of the node pressure data in the current stage. A method of optimal pressure monitoring point location in the urban water distribution networks was proposed in this paper. Since the above method did not consider spatial properties of network node. The original feature matrix data is constructed by acquiring the spatial attributes of the pressure monitoring nodes and calculating the non-spatial attributes of the nodes. The original feature matrix data will be normalized. Then the Optics clustering algorithm is used to cluster the normalized node feature matrix data to determine the location and number of pressure monitoring points in monitoring area of urban water distribution networks. Experimental results show that the method effectively ensures that the pressure monitoring points can grasp the pressure information of the whole water supply network more comprehensively and rationally, improves the economy of the pressure monitoring points layout, and provides good guidance for the actual layout of pressure monitoring points in municipal water distribution networks.
    Keywords Environmental sciences ; GE1-350
    Language English
    Publishing date 2019-01-01T00:00:00Z
    Publisher EDP Sciences
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Effect of Indoors Artificial Lighting Conditions on Computer-Based Learning Performance.

    Zhang, Rui / Yang, Yalong / Fang, Qiansheng / Liu, Yufu / Zhu, Xulai / Wang, Mingyue / Su, Liangliang

    International journal of environmental research and public health

    2020  Volume 17, Issue 7

    Abstract: Lighting condition is essential to human performance. With the widespread use of computer-based learning, the performance measurements become difficult, and the effects of artificial lighting conditions towards the new learning forms are not investigated ...

    Abstract Lighting condition is essential to human performance. With the widespread use of computer-based learning, the performance measurements become difficult, and the effects of artificial lighting conditions towards the new learning forms are not investigated extensively. The current study conducts a subject-within experiment with a 45-min-long online learning along with electroencephalogram (EEG)-based measurements, and a post-interview under five lighting setups respectively (300 lx, 3000 K; 300 lx, 4000 K; 300 lx, 6500 K; 500 lx, 4000 K; 1000 lx, 4000 K). Attention is chosen as the key factor to represent the learning performance. The results show that the attention of people aged in the 20s is not affected by the experimental lighting conditions. The results also demonstrate that people in high illumination at 1000 lx are more inclined to sustain attention despite the discomfort and dissatisfaction. Taking the EEG-based attention measurements and post-interview answers into consideration, lighting conditions at 300 lx, 4000 K are the recommended set points for university architectures among the investigated conditions, providing a practical basis when adjusting the lighting standard for its advantage in energy saving.
    MeSH term(s) Attention ; Cognition ; Environment ; Humans ; Learning ; Lighting ; Photic Stimulation
    Language English
    Publishing date 2020-04-08
    Publishing country Switzerland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1660-4601
    ISSN (online) 1660-4601
    DOI 10.3390/ijerph17072537
    Database MEDical Literature Analysis and Retrieval System OnLINE

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