Operation performance evaluation of elevators based on condition monitoring and combination weighting method

Niu, Dapeng; Guo, Lanzhong; Zhao, Weiwei; Li, Hongru

doi:10.1016/j.measurement.2022.111091

Cited by 15 publications

(6 citation statements)

References 37 publications

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“…Figure 9(a) After 50 iterations, comparisons of the applied tuning methods in terms of cage vibration evaluation indicators, including maximum longitudinal vibration (Max. LV), maximum vibration peak to peak value (Max.pk-pk) and A95 vibration peak to peak described in [34] and [35], are presented in table 4. The maximum longitudinal vibration of the IDE-SFA estimate is 0.3039 m s −2 , with an error of 3.51% from the measured value, which is the smallest difference among the four algorithms.…”

Section: Experiments Results and Analysismentioning

confidence: 99%

Longitudinal vibration estimation of a mine hoist using a hybrid signal fusion method combining UKF, ND and improved DE

Chen,

Zhang,

Chang

et al. 2024

Meas. Sci. Technol.

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The monitoring of cage longitudinal vibration can directly indicate the operational status of mine hoists. However, it is always challenging to collect the sensor signals of moving cages with high dynamic characteristics in real time from complex working environments using traditional monitoring methods. In this study, a more practical hybrid signal fusion approach is proposed to realize estimation of cage longitudinal vibration from a low sampling rate acceleration acquisition signal and a low cost encoder signal for state estimation. A nonlinear differentiator is applied to extract encoder differential signals and expand observation variables. An unscented Kalman observer based on nonlinear mine hoist model is designed to estimate the unknown state. To overcome the influence of the uncertain parameters, an improved differential evolution (DE) algorithm combining parameter adaptive method, reverse learning competition scheme and multiple parallel populations strategy is proposed to find unknown parameters of the observation model and autotune the parameters of the algorithms by using low sampling rate acceleration. Sensor data of the simulated experiment platform were collected and processed by the xPC system to validate the effectiveness of the proposed strategy. The experimental results showed that the improved DE (IDE) algorithm had a faster mean time for parameter tuning and the smallest fitness value compared to the standard DE, the particle swarm optimization algorithm and the genetic algorithm. Moreover, the longitudinal vibration estimation system, after parameter tuning by the IDE optimization algorithm, could achieve the purpose of signal estimation, with a smaller estimation error and a better estimation effect.

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Section: Experiments Results and Analysismentioning

confidence: 99%

Longitudinal vibration estimation of a mine hoist using a hybrid signal fusion method combining UKF, ND and improved DE

Chen,

Zhang,

Chang

et al. 2024

Meas. Sci. Technol.

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show abstract

“…Therefore, the more scientific approach is to combine the subjective weighting method with the objective weighting method, that is, the combination weighting method. Some scholars used the combination weighting method in their academic research [37][38][39][40].…”

Section: Combination Weighting Methodsmentioning

confidence: 99%

Evaluation of Green Manufacturing Level in China’s Provincial Administrative Regions Based on Combination Weighting Method and TOPSIS

Wang

Zhang

2022

Sustainability

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Green manufacturing is becoming an important emerging field in the new round of global industrial revolution and scientific and technological competition. Scientific evaluation of China's regional green manufacturing level has far-reaching significance for promoting the transformation and upgrading of the manufacturing industry and enhancing international competitiveness. This paper defines the connotation of green manufacturing in China in the new era, proposes four dimensions of green production, green emission, green technology, and green benefit as the framework of the evaluation system, and constructs the evaluation index system. By taking 30 provincial administrative regions as research samples, based on the data from 2017 to 2020, the combination weighting method and TOPSIS are used for evaluation from the perspective of "static" and "dynamic" to identify the current situation and development of green manufacturing level in each region. It was found that the important factors affecting the green manufacturing level in each region are green products, green invention patents, sulfur dioxide, green factories, and coal consumption. The "static" evaluation results show that the green manufacturing level varies significantly among regions. The eastern area is generally better than the central and western areas, and only six regions are at high-level and medium to high-level. In addition, the four dimensions in most regions are imbalanced, with an obvious Matthew effect. The "dynamic" evaluation results show that the green manufacturing level in 30 regions appears to have six different types of dynamic trends. There is a small change in the ranking of most regions, indicating that the dynamic development of green manufacturing level has clear regional dependence, which is difficult to change in the short term. The research results show that the index system and model can effectively evaluate the regional green manufacturing level. Finally, combined with the important influencing factors, some suggestions are proposed to enhance the regional green manufacturing level.

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“…Onsite measurement methods can be adapted from the standard EN ISO 25745-1:2012 [21], which focuses on electricity consumption measurement procedures. The elevator usage is categorized according to the VDI 4707 standard which has provided five usage categories according to the usage pattern of an investigated elevator, the average travel and idle times, and the investigated object's actual location.…”

Section: Methodology For Behavioural Analysis Of the Vertical Transpo...mentioning

confidence: 99%

“…Nevertheless, the classification method was modified to VDI4707 in order to measure the elevator's energy efficiency, which can provide a suggestion to improve the energy consumption of the building, as described in [20]. Several methods for evaluating the comprehensive operations of elevators have been reported in the literature [21,22]. These evaluations are related to data collection through measurement and data analysis.…”

Section: Introductionmentioning

confidence: 99%

Vertical Transportation System Power Usage: Behavioural Case Study of Regulated Buildings in Bangkok

2022

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Sustainable urban development worldwide is crucial for the development of living spaces in high-rise buildings and infrastructures, which leads to the inevitability of increased energy consumption and demand of vertical transportation systems. The evaluation of the energy consumption of transportation systems is needed to verify and analyse the power usage related to traffic demands and patterns. In addition, efficient vertical transportation systems are central to the formulation of more sustainable cities. Therefore, this trend represents a substantial portion of the overall energy consumption of the building types. The benchmarking of the energy needs of the vertical transportation systems in five different building types via the comparison of granular load profile patterns (in conjunction with population densities) to the energy consumed was conducted, and it will be used to infer some impactful design strategies for the future. This study demonstrated a systematic approach to determine the power usage patterns in vertical transportation systems by actual measurement and traffic data collection from elevator monitoring. This may be used to develop a prediction for other cases in different types of installed vertical transportation systems. Therefore, the power usage of the vertical transportation systems can be used to determine the correlation between energy consumption and load pattern based on building characteristics and the overall energy consumption of each presented system.

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Operation performance evaluation of elevators based on condition monitoring and combination weighting method

Cited by 15 publications

References 37 publications

Longitudinal vibration estimation of a mine hoist using a hybrid signal fusion method combining UKF, ND and improved DE

Longitudinal vibration estimation of a mine hoist using a hybrid signal fusion method combining UKF, ND and improved DE

Evaluation of Green Manufacturing Level in China’s Provincial Administrative Regions Based on Combination Weighting Method and TOPSIS

Vertical Transportation System Power Usage: Behavioural Case Study of Regulated Buildings in Bangkok

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