Experimental Approach to Compare Noise Floors of Various Torsional Vibration Sensors

Seidlitz, Steve; Kuether, Robert J.; Allen, Matthew S.

doi:10.1007/s40799-016-0073-1

Cited by 7 publications

(2 citation statements)

References 14 publications

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“…During the experimental program, careful attention was thus paid to capture and characterize the input vibration source of major interest for structural diagnostic purposes. Besides the availability of different monitoring techniques (i.e., [27][28][29]), such a goal was achieved with the support of a digital MEMS tri-axial accelerometer (ADXL355 type [47]) that was mounted on the movable spindle components in Figure 8b (mp#1 control point). The sampling rate of the accelerometer was set in 500 Hz, and the typical experimental record was characterized by a minimum duration of 2 min of machinery activity, for each test repetition.…”

Section: Okuma Machinery Centermentioning

confidence: 99%

Efficiency of Coupled Experimental–Numerical Predictive Analyses for Inter-Story Floors Under Non-Isolated Machine-Induced Vibrations

2020

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Machine-induced vibrations represent, for several reasons, a crucial design issue for industrial buildings. At the early design stage, special attention is thus required for the static and dynamic performance assessment of the load-bearing members, given that they should optimally withstand ordinary design loads but also potentially severe machinery operations. The knowledge and reliable description of the input vibration source is a key step, similarly to a reliable description of the structural system, to verify. However, such a kind of detailing is often unavailable and results in a series of simplified calculation assumptions. In this paper, a case-study eyewear factory built in 2019 is investigated. Its layout takes the form of a two-story, two-span (2 × 14.6 m) precast concrete frame (poor customer/designer communication on the final equipment resulted in various non-isolated computer numerical control (CNC) vertical machines mounted on the inter-story floor, that started to suffer from pronounced resonance issues. Following past experience, this paper investigates the validity of a coupled experimental–numerical method that could be used for efficient assessment predictive studies. Based on on-site experiments with Micro Electro-Mechanical Systems (MEMS) accelerometers mounted on the floor and on the machine (spindle included), the most unfavorable machine-induced vibration sources and operational conditions are first characterized. The experimental outcomes are thus used to derive a synthetized signal that is integrated in efficient one-bay finite element (FE) numerical model of the floor, in which the machine–structure interaction can be taken into account. The predictability of marked resonance issues is thus emphasized, with a focus on potential and possible limits of FE methods characterized by an increasing level of detailing and computational cost.

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Section: Okuma Machinery Centermentioning

confidence: 99%

Efficiency of Coupled Experimental–Numerical Predictive Analyses for Inter-Story Floors Under Non-Isolated Machine-Induced Vibrations

2020

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“…This technique operates entirely contact-free and allows torque measurement on standard installations, across their operational life, avoiding the use of permanently installed in-line intrusive torque meters, by simply instrumenting the existing shaft with the two zebra tapes located as far as possible from each other. The use of optical sensors and zebra tapes on rotating shafts is not new; however, literature reports only application for torsional vibration measurement [22,23], while this research proposes their use for torque measurement. This paper introduces the operating principle of the proposed non-intrusive torque measurement system and its experimental implementation and validation.…”

Section: Introductionmentioning

confidence: 99%

Non-intrusive torque measurement for rotating shafts using optical sensing of zebra-tapes

Zappalá

Bezziccheri

Crabtree

et al. 2018

Meas. Sci. Technol.

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Non-intrusive, reliable and precise torque measurement is critical to dynamic performance monitoring, control and condition monitoring of rotating mechanical systems. This paper presents a novel, contactless torque measurement system consisting of two shaft-mounted zebra tapes and two optical sensors mounted on stationary rigid supports. Unlike conventional torque measurement methods, the proposed system does not require costly embedded sensors or shaft-mounted electronics. Moreover, its non-intrusive nature, adaptable design, simple installation and low cost make it suitable for a large variety of advanced engineering applications. Torque measurement is achieved by estimating the shaft twist angle through analysis of zebra tape pulse train time shifts. This paper presents and compares two signal processing methods for torque measurement: rising edge detection and cross-correlation. The performance of the proposed system has been proven experimentally under both static and variable conditions and both processing approaches show good agreement with reference measurements from an in-line, invasive torque transducer. Measurement uncertainty has been estimated according to the ISO GUM (Guide to the expression of uncertainty in measurement). Type A analysis of experimental data has provided an expanded uncertainty relative to the system full-scale torque of ±0.30% and ±0.86% for the rising edge and crosscorrelation approaches, respectively. Statistical simulations performed by the Monte Carlo method have provided, in the worst case, an expanded uncertainty of ±1.19%.

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Development of arbitrary waveform torsional vibration signal generator

et al. 2020

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Experimental Approach to Compare Noise Floors of Various Torsional Vibration Sensors

Cited by 7 publications

References 14 publications

Efficiency of Coupled Experimental–Numerical Predictive Analyses for Inter-Story Floors Under Non-Isolated Machine-Induced Vibrations

Efficiency of Coupled Experimental–Numerical Predictive Analyses for Inter-Story Floors Under Non-Isolated Machine-Induced Vibrations

Non-intrusive torque measurement for rotating shafts using optical sensing of zebra-tapes

Development of arbitrary waveform torsional vibration signal generator

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