# Measurement

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/measurement/

## Facts

| Field | Value |
| --- | --- |
| APC (USD) | 3,500 |
| Citations | 437,222 |
| h-index | 174 |
| Homepage | https://www.journals.elsevier.com/measurement |
| Open Access | false |
| ISSN-L | 0263-2241 |
| ISSNs | 0263-2241,1873-412X |
| OpenAlex ID | https://openalex.org/S147767848 |
| Publisher | Elsevier BV |
| Works | 21,882 |

## Journal papers

Showing 12 of 24.

- [Recent advances and trends of predictive maintenance from data-driven machine prognostics perspective](https://scholariq.org/papers/recent-advances-and-trends-of-predictive-maintenance-from-data-driven-machine/)
- [Design and fabrication of a six-dimensional wrist force/torque sensor based on E-type membranes compared to cross beams](https://scholariq.org/papers/design-and-fabrication-of-a-six-dimensional-wrist-force-torque-sensor-based-on-e/)
- [Design and optimization of a novel six-axis force/torque sensor for space robot](https://scholariq.org/papers/design-and-optimization-of-a-novel-six-axis-force-torque-sensor-for-space-robot/)
- [An improved inverse Gaussian process with random effects and measurement errors for RUL prediction of hydraulic piston pump](https://scholariq.org/papers/an-improved-inverse-gaussian-process-with-random-effects-and-measurement-errors/)
- [Developing a practical evaluation framework for identifying critical factors to achieve supply chain agility](https://scholariq.org/papers/developing-a-practical-evaluation-framework-for-identifying-critical-factors-to/)
- [A robust instance segmentation framework for underground sewer defect detection](https://scholariq.org/papers/a-robust-instance-segmentation-framework-for-underground-sewer-defect-detection/)
- [A lightweight deep learning system for automatic detection of blood cancer](https://scholariq.org/papers/a-lightweight-deep-learning-system-for-automatic-detection-of-blood-cancer/)
- [Mechanical fault time series prediction by using EFMSAE-LSTM neural network](https://scholariq.org/papers/mechanical-fault-time-series-prediction-by-using-efmsae-lstm-neural-network/)
- [An experimental comparison of multi-frequency and chirp excitations for eddy current testing on thin defects](https://scholariq.org/papers/an-experimental-comparison-of-multi-frequency-and-chirp-excitations-for-eddy/)
- [General synchroextracting chirplet transform: Application to the rotor rub-impact fault diagnosis](https://scholariq.org/papers/general-synchroextracting-chirplet-transform-application-to-the-rotor-rub-impact/)
- [A vision-based fusion method for defect detection of milling cutter spiral cutting edge](https://scholariq.org/papers/a-vision-based-fusion-method-for-defect-detection-of-milling-cutter-spiral/)
- [Towards a new definition of areal surface texture parameters on freeform surface](https://scholariq.org/papers/towards-a-new-definition-of-areal-surface-texture-parameters-on-freeform-surface/)

## Journal top topics

Showing 8 of 23.

- [Machine Fault Diagnosis Techniques](https://scholariq.org/topics/machine-fault-diagnosis-techniques/)
- [Structural Health Monitoring Techniques](https://scholariq.org/topics/structural-health-monitoring-techniques/)
- [Optical measurement and interference techniques](https://scholariq.org/topics/optical-measurement-and-interference-techniques/)
- [Advanced Measurement and Metrology Techniques](https://scholariq.org/topics/advanced-measurement-and-metrology-techniques/)
- [Non-Destructive Testing Techniques](https://scholariq.org/topics/non-destructive-testing-techniques/)
- [Ultrasonics and Acoustic Wave Propagation](https://scholariq.org/topics/ultrasonics-and-acoustic-wave-propagation/)
- [Advanced Fiber Optic Sensors](https://scholariq.org/topics/advanced-fiber-optic-sensors/)
- [Advanced machining processes and optimization](https://scholariq.org/topics/advanced-machining-processes-and-optimization/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.