Mustafa Mahfuz, Md. Amran Gazi, Muttaquina Hossain et al. · Toxin Reviews · 2018
Aflatoxins are fungal toxins produced by molds in contaminated foods and feeding derivatives. Analytical methods for detection and quantification of aflatoxins must be specific, sensitive, reliable, and simple to carry out. Various chromatographic, immunochemical, and spectroscopic methods are commonly used to quantify aflatoxins. Developing countries with high incidence of aflatoxin exposure have limited access to these types of analytical methods. This review systematically evaluated and underlined the advantages and limitations of all the existing analytical methods for detection of aflatoxins. In addition, more streamlined, user-friendly and in some instances, nondestructive methods are also discussed.
Cited by 32
Xianhao Fan, Weiqi Qin, Rui Qiu et al. · High Voltage · 2025
Abstract Partial discharge (PD) detection is considered one of the most crucial and effective methods for identifying defects in electrical equipment. Consequently, investigating advanced and efficient PD monitoring techniques is essential for the development of gas‐insulated equipment (GIE) and the construction of ultra‐high‐voltage (UHV) networks. This paper first explores the causes and impact characteristics of various defects in GIE based on experimental results and simulation analysis. It then reviews current research on advanced PD measurement techniques, integrating acoustic, chemical and optical methods. The findings preliminarily demonstrate the unique advantages and applicability of the advanced methods for complex detection environments. Finally, this paper addresses the technical challenges and potential breakthroughs associated with these detection techniques. In this regard, this study aims to provide technical insights and research directions for defect detection techniques in UHV GIE.
Cited by 7Open access
Michael Bukshtab · 2011
Methodologies and measurement systems for combustion diagnostics, remote sensing, and pollution detection: ringdown, pulsed, resonator, calorimetric, interferometric, acoustooptic, polarization, active, passive, advanced direct methods - are analyzed emphasizing applicability, accuracy, sensitivity, and susceptibility to interference noise.
Cited by 0
Gary Choquette, Rick Rans, Warren Peterson · 2026
In pipeline systems, whether gas or liquid, achieving a perfect balance between inbound and outbound volume, mass, or energy is unattainable due to measurement uncertainties, operational noise, and accounting errors. This report introduces advanced analytic methods which aid in getting closer to the 'perfect balance' by identifying specific meters contributing to balance discrepancies and by improving the accuracy of estimating the inventory of the product in the pipeline. By reducing measurement uncertainty, operators can enhance leak detection sensitivity and pinpoint where efforts should be focused to address specific measurement problems. The methods developed in this effort have been validated using double-blind simulated data and tested against a real dataset. Enhancements to reduce measurement uncertainty allow lost and unaccounted methods to reliably identify leaks, theft, and other unexpected or unaccounted-for product loss. These methods also support the ability to find smaller leaks using online leak detection systems. The target audience for this document is Measurement technicians, Measurement specialists, Measurement accountants, and Leak detection experts. This document also makes a good primer for individuals that are new to product measurement in the pipeline industry.
Cited by 0Open access
Tian Jiao Liu, Weifang Zhang, Xiao Liang Fang · Advanced materials research · 2014
It mainly introduces four methods, permeation testing method, radiographic inspection, ultrasonic inspection and measurement and holographic speckle detection, to test composite structure defects, including their testing principles, field of application, specific testing steps,etc. Among the four nondestructive testing technologies for composite materials, the holographic speckle detection is the most advanced and widely used one and has been being improved.
Cited by 3
Šimon Řeřucha · Digital Repository (National Repository of Grey Literature) · 2024
The Coherence Optics Department of the Institute of Scientific Instruments of the Czech Academy of Sciences (ISI CAS) has been conducting advanced research in laser interferometry and length metrology for decades. The Interferometric and Fiber Optic Instrumentation Group focuses on developing innovative interferometric methods and metrological instruments with sub-nanometer resolution. These advancements enhance measurement resilience even in challenging environments outside laboratories. Key achievements include the design of a differential interferometer, development of precise wavelength-stabilized laser sources, and advanced phase-change detection methods. These technologies have been applied in automated gauge calibration, coordinate measurement in high-tech fields like electron lithography, and calibration of measurement systems under extreme conditions, such as in nuclear reactors.
Cited by 0
Wölk, Sabine, Piltz, Christian, Sriarunothai, Theeraphot et al. · arXiv (Cornell University) · 2014
In order to faithfully detect the state of an individual two-state quantum system (qubit) realized using, for example, a trapped ion or atom, state selective scattering of resonance fluorescence is well established. The simplest way to read out this measurement and assign a state is the threshold method. The detection error can be decreased by using more advanced detection methods like the time-resolved method or the $π$-pulse detection method. These methods were introduced to qubits with a single possible state change during the measurement process. However, there exist many qubits like the hyperfine qubit of $^{171}Yb^+$ where several state change are possible. To decrease the detection error for such qubits, we develope generalizations of the time-resolved method and the $π$-pulse detection method for such qubits. We show the advantages of these generalized detection methods in numerical simulations and experiments using the hyperfine qubit of $^{171}Yb^+$. The generalized detection methods developed here can be implemented in an efficient way such that experimental real time state discrimination with improved fidelity is possible.
Cited by 0Open access
J.T. Mihalczo · 2004
This report briefly describes the neutrons and gamma rays emitted by active interrogation of HEU, briefly discusses measurement methods, briefly discusses sources and detectors relevant to detection of shielded HEU in Sealand containers, and lists the measurement possibilities for the various sources. All but one of the measurement methods detect radiation emitted by induced fission in the HEU; the exception utilizes nuclear resonance fluorescence. The brief descriptions are supplemented by references. This report presents some active interrogation possibilities but the status of understanding is not advanced enough to select particular methods. Additional research is needed to evaluate these possibilities.
Cited by 9Open access
Emma McCurdy-Franks, Victoria McCarvell, Samuel Finkelstein et al. · Annals of Palliative Medicine · 2023
Our review demonstrates that the then-test measurement tool has been commonly used for the detection of response shift. Newer measures for response shift have become more accepted; the then-test, if used, should be used with caution considering its limitations and the emergence of more advanced methods.
Cited by 4Open access
Xiaohui Liu, Jiegang Mou, Xin Xu et al. · Processes · 2023
As one of the research hotspots in the field of pumps, cavitation detection plays an important role in equipment maintenance and cost-saving. Based on this, this paper analyzes detection methods of cavitation faults based on different signals, including vibration signals, acoustic emission signals, noise signals, and pressure pulsation signals. First, the principle of each detection method is introduced. Then, the research status of the four detection methods is summarized from the aspects of cavitation-induced signal characteristics, signal processing methods, feature extraction, intelligent algorithm identification of cavitation state, detection efficiency, and measurement point distribution position. Among these methods, we focus on the most widely used one, the vibration method. The advantages and disadvantages of various detection methods are analyzed and proposed: acoustic methods including noise and acoustic emission can detect early cavitation very well; the vibration method is usually chosen first due to its universality; the anti-interference ability of the pressure pulsation method is relatively strong. Finally, the development trend of detecting cavitation faults based on signals is given: continue to optimize the existing detection methods; intelligent algorithms such as reinforcement learning and deep reinforcement learning will be gradually integrated into the field of cavitation status identification in the future; detection systems still need to be further improved to accommodate different types of pumps; advanced sensing devices combined with advanced signal processing techniques are one of the effective means to detect cavitation in a timely manner; draw on other fault detection methods such as bearing faults and motor faults.
Cited by 19Open access
Shilin Chen, Wei Shi · Measurement Sensors · 2021
In the measurement of hardness value, indentation is the key to obtain the hardness value. Traditional manual detection of indentation is inefficient, time-consuming and low accuracy. And some automatic methods can only achieve single indentation detection. In the early stage of full-automatic detection, the hardness block classification and some hardness surface detection with interference impurities need to be carried out manually, which reduces detection efficiency. Therefore, this paper presents an automatic classification and detection method of hardness indentation based on Alexnet neural network. By classifying the hardness indentation first, and then using different analysis methods for different indentation, the detection efficiency can be improved. The experimental results show that the average classification accuracy of Alexnet is 90.75% and the detection speed of a single image is 28.26 ms. This method is advanced and effective in indentation classification and detection.
Cited by 1Open access
Zhenya Wang, Ligang Yao, Minglin Li et al. · IEEE Transactions on Instrumentation and Measurement · 2024
Entropy theories play a significant role in rotating machinery fault detection. The key parameters of these methods are, however, often selected subjectively based on trial-and-error methods or engineering experience. Unsuitable parameters would result in an inconsistency between the extracted entropy results and the realistic case. In order to address this issue, a complexity measurement method called “swarm intelligence optimization entropy” (SIOE) is proposed, which adaptively estimates optimal parameters using skewness metrics, logistic chaos theory, and African vulture optimization (AVO). By considering the variability and dynamic changes of various signals, SIOE enables the extraction of robust and discriminative dynamic features. Additionally, a collaborative intelligent fault detection method for rotating machinery fault detection is developed, based on SIOE and extreme gradient boosting (XGBoost). This method aims to accurately identify single faults, compound faults, and varying fault degrees within the rotating machinery. Simulation and fault detection experiments on rotating machines demonstrate that SIOE improves recognition accuracy by up to 21.25% compared to existing entropy methods. The proposed intelligent fault detection method improves recognition accuracy by up to 15.71% compared to advanced fault detection methods. These results highlight the advantages of SIOE in complexity measurement and feature extraction, as well as the effectiveness and accuracy of the proposed intelligent fault detection method, in identifying rotating machinery faults.
Cited by 14
J. Fuhr, T. Aschwanden · 2005
The application of advanced off-line methods and procedures for condition assessment of new and service-aged power transformers are discussed. The selection of the diagnostic methods is based on the main operational stresses (electrical, mechanical, thermal) and on typical failure modes: (1) detection of polar components in the paper/oil insulating system using frequency domain spectroscopy (FDS) or using measurements of polarisation/depolarisation currents (PDC) in the time domain, (2) localization of inhomogeneities in the insulating system using sensitive partial discharge detection (PD) and (3) detection of deformations and movement of windings in the active part using measurement of the transfer function (FRA).
Cited by 13
Jingyao Su, Steffen Schön, Mathieu Joerger · 2023
This paper aims to evaluate the performance of the set-based fault detection. This approach differs from probabilistic residual-based (RB) or solution separation (SS) fault detection and exclusion methods utilized in the Receiver Autonomous Integrity Monitoring (RAIM) and Advanced RAIM. In the basic positioning model, measurement-level intervals are constructed based on the investigated error models and propagated in a linear manner using interval mathematics and set theory. Convex polytope solutions provide a measure of observation consistency formulated as a constraint satisfaction problem. Consistency checks performed using set operations facilitate multiple-fault detection. Choosing set-emptiness as the detection criterion can alleviate the need for multiple test statistics. In this paper, we formulate the fault detection problem in the context of measurement intervals and propose a framework of integrity monitoring for the set-based detection. Considering a probabilistic error model, we implement the set-based detection methods and assess its integrity performance using Monte Carlo simulations. These evaluations will serve as a basis for further development of efficient estimators and integrity monitors.
Cited by 2
Andrzej Sikora, Krzysztof Gajewski, Dominik Badura et al. · Sensors · 2024
One of the most advanced and versatile nanoscale diagnostic tools is atomic force microscopy. By enabling advanced imaging techniques, it allows us to determine various assets of a surface, including morphological, electrical, mechanical, magnetic, and thermal properties. Measuring local current flow is one of the very important methods of evaluation for, for instance, photovoltaic materials or semiconductor structures and other nanodevices. Due to contact areas, the current densities can easily reach above 1 kA/m<sup>2</sup>; therefore, special detection/measurement setups are required. They meet the required measurement range, sensitivity, noise level, and bandwidth at the measurement scale. Also, they prevent the sample from becoming damaged and prevent unwanted tip-sample issues. In this paper, we present three different nanoscale current measurement solutions, supported with test results, proving their performance.
Cited by 3Open access
Mohammad Rasoulnia, Elnaz Yaghoubi, Elaheh Yaghoubi et al. · Renewable and Sustainable Energy Reviews · 2025
Integrating inverter-based resources (IBRs) into smart grids (SGs) introduces new technical challenges for power quality (PQ) maintenance as well as fault detection and system reliability. Several recent studies have explored various aspects of SGs to enhance power quality, as well as fault detection, localization, and classification. However, several factors still require further improvement. This review paper employs systematic review and bibliometric analysis to examine advanced SG technologies such as automatic voltage regulation (AVR), advanced metering infrastructure (AMI), automatic generation control (AGC), and wide area measurement systems (WAMS) before comparing their effectiveness at addressing operational problems such as voltage regulation as well as outage management and data processing. The study examines measurement tools such as phasor measurement units (PMUs), smart meters (SMs), digital measurement units (DMUs), and waveform measurement units (WMUs) to understand their roles in PQ events detection, classification, and location identification. Research trends and emerging technologies along with current research gaps were identified through a bibliometric study of peer-reviewed articles from Web of Science (2013–2024) using VOS Viewer visualization techniques. A combined analysis delivers an integrated view that shows how smart grid innovations and measurement solutions boost monitoring capabilities while simultaneously improving event analysis and grid resilience in contemporary power systems. • Systematic and bibliometric review of smart grid technologies. • Comparative survey of measurement tools in smart grids: PMUs, WMUs, SMs, DMUs. • Power quality events detection, classification, and fault location methods. • Analysis of technology devices supporting grid monitoring and resilience. • Research gaps and future directions for next-generation smart grids.
Cited by 4Open access
A. Garcı́a-Arribas, Beatriz Sisniega, J. Gutiérrez et al. · Journal of Physics D Applied Physics · 2025
Abstract This review explores the application of magnetoelastic (ME) resonance for the determination of deposited or absorbed mass. Following a comparison of its working principles with those of piezoelectric counterparts, specifically quartz crystal microbalances, the various measurement configurations developed to date are examined. Strategies to address intrinsic challenges, such as frequency drift due to magnetic relaxation, and methods to enhance measurement resolution through advanced signal fitting techniques are also presented. Two representative applications, calcium oxalate precipitation kinetics and humidity detection through water absorption, are examined in detail, followed by a concise overview of additional uses in bio-recognition, gas sensing, and heavy metal detection. This work aims to provide a comprehensive overview of the current state of the art and to encourage further development of ME microbalances as highly sensitive, remotely operable systems for mass measurement and molecular detection.
Cited by 0Open access
Alexander Е. Berezin · Journal of Biotechnology & Biomaterials · 2017
Microparticles (MPs) are considered important diagnostic biological markers in many diseases with promising predictive value. There are several methods that currently used for the detection of number and characterization of structure and features of MPs. Therefore, the MP detection methods have been remained pretty costly and time consuming. The review is depicted the perspectives to use coupling methods for MP measurement and structure assay. Indeed, there is large body evidence regarding that the combination of atomic force microscopy or coupling nanoparticle tracking analysis (NTA) with microbeads, plasmon resonance method and fluorescence quantum dots could exhibit much more accurate ability to detect both number and structure of MPs when compared with traditional flow cytometry and fluorescent microscopy. Whether several combined methods would be useful for advanced MP detection is not fully clear, while it is extremely promising.
Cited by 0Open access
Alexander Е. Berezin · Archives of Biotechnology and Biomedicine · 2017
Microparticles (MPs) are considered important diagnostic biological markers in many diseases with promising predictive value. There are several methods that currently used for the detection of number and characterization of structure and features of MPs. Therefore, the MP detection methods have been remained pretty costly and time consuming. The review is depicted the perspectives to use coupling methods for MP measurement and structure assay. Indeed, there is large body evidence regarding that the combination of atomic force microscopy or coupling nanoparticle tracking analysis (NTA) with microbeads, plasmon resonance method and fluorescence quantum dots could exhibit much more accurate ability to detect both number and structure of MPs when compared with traditional flow cytometry and fluorescent microscopy. Whether several combined methods would be useful for advanced MP detection is not fully clear, while it is extremely promising.
Cited by 0Open access
Kihyun Kim, Ye-Eun Jeong, Ye-Jun Kim et al. · Journal of the Korean society for quality management · 2023
Purpose: To attain advanced performance certification, safety aspects along with functionality and performance are essential. Hence, this study suggests radiation leakage assessment methods for aviation security equipment during its performance certification.Methods: Detection technology guided the choice of radiation leakage assessment targets. We then detailed measurement and evaluation methods based on equipment type and operation mode. Equipment was categorized as container or box types for establishing measurement procedures.Results: We’ve developed specific radiation leakage assessment procedures for different types of aviation security equipment, crucial for ensuring airport safety. Using these procedures allows efficient evaluation of compliance with radiation leakage standards.Conclusion: The suggested radiation leakage assessment method aims to enhance aviation security and reliability. Future research will focus on identifying risks in novel aviation security equipment detection technologies and establishing safety standards.
Cited by 0Open access