Power meter applications

2011 ◽  
pp. 116-127
Keyword(s):  
Power Meter

scholarly journals Associations between Well-Being State and Match External and Internal Load in Amateur Referees

2021 ◽  
Vol 18 (6) ◽  
pp. 3322
Author(s):  
Eñaut Ozaeta ◽  
Javier Yanci ◽  
Carlo Castagna ◽  
Estibaliz Romaratezabala ◽  
Daniel Castillo
Keyword(s):  
External Load ◽  
Contact Time ◽  
Well Being ◽  
Ground Contact ◽  
Internal Load ◽  
Match Play ◽  
Power Meter ◽  
Ground Contact Time ◽  
Training Impulse ◽  
External Loads

The main aim of this paper was to examine the association between prematch well-being status with match internal and external load in field (FR) and assistant (AR) soccer referees. Twenty-three FR and 46 AR participated in this study. The well-being state was assessed using the Hooper Scale and the match external and internal loads were monitored with Stryd Power Meter and heart monitors. While no significant differences were found in Hooper indices between match officials, FR registered higher external loads (p < 0.01; ES: 0.75 to 5.78), spent more time in zone 4 and zone 5, and recorded a greater training impulse (TRIMP) value (p < 0.01; ES: 1.35 to 1.62) than AR. Generally, no associations were found between the well-being variables and external loads for FR and AR. Additionally, no associations were found between the Hooper indices and internal loads for FR and AR. However, several relationships with different magnitudes were found between internal and external match loads, for FR, between power and speed with time spent in zone 2 (p < 0.05; r = −0.43), ground contact time with zone 2 and zone 3 (p < 0.05; r = 0.50 to 0.60) and power, speed, cadence and ground contact time correlated with time spent in zone 5 and TRIMP (p < 0.05 to 0.01; r = 0.42 to 0.64). Additionally, for AR, a relationship between speed and time in zone 1 was found (p < 0.05; r = −0.30; CL = 0.22). These results suggest that initial well-being state is not related to match officials’ performances during match play. In addition, the Stryd Power Meter can be a useful device to calculate the external load on soccer match officials.

scholarly journals Are the Assioma Favero Power Meter Pedals a Reliable Tool for Monitoring Cycling Power Output?

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2789
Author(s):  
Víctor Rodríguez-Rielves ◽  
José Ramón Lillo-Beviá ◽  
Ángel Buendía-Romero ◽  
Alejandro Martínez-Cava ◽  
Alejandro Hernández-Belmonte ◽  
...  
Keyword(s):  
Power Output ◽  
Gold Standard ◽  
Cycle Ergometer ◽  
Test Reliability ◽  
Direct Drive ◽  
Validity And Reliability ◽  
Power Meter ◽  
High Workload ◽  
Vibration Stress ◽  
40 Hz

This study aimed to examine the validity and reliability of the recently developed Assioma Favero pedals under laboratory cycling conditions. In total, 12 well-trained male cyclists and triathletes (VO2max = 65.7 ± 8.7 mL·kg−1·min−1) completed five cycling tests including graded exercises tests (GXT) at different cadences (70–100 revolutions per minute, rpm), workloads (100–650 Watts, W), pedaling positions (seated and standing), vibration stress (20–40 Hz), and an 8-s maximal sprint. Tests were completed using a calibrated direct drive indoor trainer for the standing, seated, and vibration GXTs, and a friction belt cycle ergometer for the high-workload step protocol. Power output (PO) and cadence were collected from three different brand, new pedal units against the gold-standard SRM crankset. The three units of the Assioma Favero exhibited very high within-test reliability and an extremely high agreement between 100 and 250 W, compared to the gold standard (Standard Error of Measurement, SEM from 2.3–6.4 W). Greater PO produced a significant underestimating trend (p < 0.05, Effect size, ES ≥ 0.22), with pedals showing systematically lower PO than SRM (1–3%) but producing low bias for all GXT tests and conditions (1.5–7.4 W). Furthermore, vibrations ≥ 30 Hz significantly increased the differences up to 4% (p < 0.05, ES ≥ 0.24), whereas peak and mean PO differed importantly between devices during the sprints (p < 0.03, ES ≥ 0.39). These results demonstrate that the Assioma Favero power meter pedals provide trustworthy PO readings from 100 to 650 W, in either seated or standing positions, with vibrations between 20 and 40 Hz at cadences of 70, 85, and 100 rpm, or even at a free chosen cadence.

scholarly journals Evaluation on Innovation approaches on Performance from Malaysian perspective: A study on Malaysian Building energy saving

2018 ◽  
Vol 150 ◽  
pp. 06040
Author(s):  
M. H. Amlus ◽  
Amlus Ibrahim ◽  
Ahmad Zaidi Abdullah ◽  
Nurhafiza Azizan ◽  
Ummi Naeimah Saraeh
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Building Energy ◽  
Management Approach ◽  
Energy Audit ◽  
Advanced Country ◽  
Power Meter ◽  
Load Following ◽  
Current Usage ◽  
Building Energy Saving

Lately Malaysia energy consumption versus generation rapidly shows increasing due to increasing of load. This phenomenon happened following to advanced country development. Lacking on design and without energy management approach the energy consumption and monthly electrical bill will steadily increased and support the increasing of world carbon emission. Therefore the aim of this work is to approach the simplest innovation task-energy audit , which is load-apportioning strategy. This approach using matching the usage of equipment with fully utilized space and reschedules the time of usage. A one week data was collected by logged power meter at main switchboard at selected building using Fluke Power Recorder. From the data collected, current usage of every load can be determine, then load will be arrange into a group with same portion and same time of usage. The result shows clearly the energy consumption for every single day and indicates the highest and lowest peak. From this work the apportioning strategy implemented by rearrange the load following type of room application. After the arrangement, new measurement was taken and a very good result was established. This work also can be further apply for a huge load that can be save a lot of money for owner especially government by energy saving.

A TMS320-based reactive power meter

2002 ◽  
Author(s):  
J.C. Montano Asquerino ◽  
A. Lopez Ojeda ◽  
M. Castilla Ibanez ◽  
J. Gutierrez Benitez
Keyword(s):  
Reactive Power ◽  
Power Meter

A simple relative laser power meter

1991 ◽  
Vol 62 (2) ◽  
pp. 318-320 ◽  
Author(s):  
Bojan B. Radak ◽  
Branislav B. Radak
Keyword(s):  
Laser Power ◽  
Power Meter

An Optical Fiber Sensing Network Supporting Weak Optical Signal Detection and a Neural Network Method for Information Collection

2021 ◽  
Vol 16 (2) ◽  
pp. 188-195
Author(s):  
Keyuan Liu ◽  
Haibin Li ◽  
Ya Wang
Keyword(s):  
Neural Network ◽  
Optical Fiber ◽  
Signal Detection ◽  
Mobile Phone ◽  
Optical Power ◽  
Information Collection ◽  
Identification System ◽  
Power Meter ◽  
Fiber Sensing ◽  
Optical Fiber Sensing

The weak direct current (DC) signals detected and converted by the photodetector are output to the mobile phone by voltage/frequency switching, and the signals are processed by the mobile phone APP and audio conversion module. The photodetector is equipped with the automatic switching function to design an optical power meter and detect weak signals. Meanwhile, the optical cable identification system is analyzed and combined with the optical power meter to generate an optical fiber sensing network to improve the weak alternating current (AC) signal detection. This network needs data fusion in sensor nodes’ data collection. The cluster routing protocol is introduced and combined with the back propagation neural network (BPNN) to propose a method suitable for this photoelectric transmission and improve the information fusion and accuracy. In the experiment, the optical power meter is output in gears first, and the output waveforms are normal. The photodiode’s optical power is adjusted to obtain different frequencies on the oscilloscope. In the proposed optical fiber sensing network, weak AC signals are amplified significantly, and different optical fiber lines can be distinguished in the optical cables. The proposed information collection method can reduce network communication and node energy consumption.

An Improved Residual Network for Electricity Power Meter Error Estimation

2019 ◽  
Vol 33 (08) ◽  
pp. 1959024
Author(s):  
Zichao Kou ◽  
Yanjun Fang
Keyword(s):  
Deep Learning ◽  
Error Estimation ◽  
Back Propagation ◽  
Electrical Energy ◽  
Residual Network ◽  
Propagation Process ◽  
Power Meter ◽  
Energy Metering ◽  
Electricity Power ◽  
Comparable Model

The lack of research on the metering characteristics of electricity power meters under complex conditions is a major obstacle to the on-site verification of electrical energy metering equipment. Establishing a predictive model for electricity power meter errors offers an effective way of dealing with this issue. Deep learning has been proven to have the capacity to reduce end-to-end dimensionality and improve recognition. Through the analysis of the back propagation process in residual networks, an improved residual network is set out in this paper. While preserving the advantages of residual network gradient propagation, it adds an adjustable shortcut and designs a convex [Formula: see text]-parameter strategy that can be improved according to different processing objects. Experimental results show that the predicted errors produced by the proposed technique are significantly lower than in a comparable model. At the same time, the improved residual network does not increase the network’s complexity.

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