12 research outputs found
SPURIOUS ACTIVATION ASSESSMENT OF THERMAL POWER PLANTβS SAFETY-INSTRUMENTED SYSTEMS
Safety-instrumented systems (also called technological protections) play the significant role in prevention and mitigating of major accidents that can occur on thermal power plant. Activations of safety-instrumented system turn the power unit into safe state by shutting it down or reducing it productivity. The power generation process operates continuously. Any unplanned outage of generation equipment leads to undersupply of energy and big commercial losses to generation company. In Russia the values of allowed spurious trip rate for safety-instrumented systems are set by regulatory agency. These values are strict to all technological protections and do not take into account the differences in amounts of losses. This paper presents more flexible approach based on the Farmerβs risk criterion. Also risk reduction factor for spurious activation is proposed
A Multistage Procedure of Mobile Vehicle Acoustic Identification for Single-Sensor Embedded Device
Mobile vehicle identification has a wide application field for both civilian and military uses. Vehicle identification may be achieved by incorporating single or multiple sensor solutions and through data fusion. This paper considers a single-sensor multistage hierarchical algorithm of acoustic signal analysis and pattern recognition for the identification of mobile vehicles in an open environment. The algorithm applies several standalone techniques to enable complex decision-making during event identification. Computationally inexpensive procedures are specifically chosen in order to provide real-time operation capability. The algorithm is tested on pre-recorded audio signals of civilian vehicles passing the measurement point and shows promising classification accuracy. Implementation on a specific embedded device is also presented and the capability of real-time operation on this device is demonstrated
Optimized Acoustic Localization with SRP-PHAT for Monitoring in Distributed Sensor Networks
Acoustic localization by means of sensor arrays has a variety of applications, from conference telephony to environment monitoring. Many of these tasks are appealing for implementation on embedded systems, however large dataflows and computational complexity of multi-channel signal processing impede the development of such systems. This paper proposes a method of acoustic localization targeted for distributed systems, such as Wireless Sensor Networks (WSN). The method builds on an optimized localization algorithm of Steered Response Power with Phase Transform (SRP-PHAT) and simplifies it further by reducing the initial search region, in which the sound source is contained. The sensor array is partitioned into sub-blocks, which may be implemented as independent nodes of WSN. For the region reduction two approaches are handled. One is based on Direction of Arrival estimation and the other - on multilateration. Both approaches are tested on real signals for speaker localization and industrial machinery monitoring applications. Experiment results indicate the methodβs potency in both these tasks
Performance Assessment of TSOβDSO using Volt-Var Control at Smart-Inverters
The massive penetration of distributed energy resources (DERs) in distribution networks provides a strategic opportunity for the distribution system operator (DSO) to coordinate the assets appropriately and offer services to the transmission systems. The IEEE std. 1547-2018 introduced a control mechanism to enable the power electronic converters (PECs) to offer several services, including voltage regulation by controlling the reactive power injection/absorption; this type of PECs is also known as "smart inverter". The participation of the smart-inverters in the voltage regulation with a novel customer-centred piece of legislation and markets provide the DSO with powerful tools to enforce very positive TSO/DSO interactions. This research paper presents a comprehensive assessment of the steady-state performance provided by voltage control at the smart-inverters to the TSO β DSO system. The assessment includes analysing main indicators using time series considering short term (24-hours, 1-minute resolution) and long-term (one-year) horizon. In this paper, the three leading indicators are used as criteria for the assessment: total energy losses voltage profile in the TSO-DSO system and the power flow interaction at the interface between the systems. The assessment is based on numerical results using the DIgSILENT PowerFactory simulation tool, where the voltage controllers have been implemented, and regional electrical system in south-eastern Norway, the area of Vestfold and Telemark as been used for illustrative purpose
Π‘ΠΈΠ½ΡΠ΅Π· ΡΠΎΠΏΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΡΡΡΠΊΡΡΡΡ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΠΎΠΉ ΡΠ΅ΡΠΌΠΈΠ½Π°Π»ΡΠ½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ Π΄Π»Ρ Π°ΡΠ΄ΠΈΠΎΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π° ΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΠ΅Π»Π΅ΠΉ Π»ΠΎΠΊΠ°Π»ΡΠ½ΡΡ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΡΡ ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²
Π¨ΠΈΡΠΎΠΊΠΎΠ΅ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΌΠ½ΠΎΠ³ΠΎΠΌΠΎΠ΄Π°Π»ΡΠ½ΡΡ
ΠΈΠ½ΡΠ΅ΡΡΠ΅ΠΉΡΠΎΠ², ΠΎΠ±ΡΡΠ»ΠΎΠ²Π»Π΅Π½Π½ΠΎΠ΅ ΠΌΠ½ΠΎΠ³ΠΎΠΌΠΎΠ΄Π°Π»ΡΠ½ΠΎΡΡΡΡ ΡΡΠ°Π΄ΠΈΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΠΌΠ΅ΠΆΠ»ΠΈΡΠ½ΠΎΡΡΠ½ΠΎΠ³ΠΎ ΠΎΠ±ΡΠ΅Π½ΠΈΡ, ΠΏΠ΅ΡΠ΅Ρ
ΠΎΠ΄ ΠΊ ΠΏΠΎΠ»ΠΈΠΌΠΎΠ΄Π°Π»ΡΠ½ΠΎΠΌΡ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΠΈ ΡΠΈΡΡΠ΅ΠΌ Π΅Π΅ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ»ΠΈ ΠΏΠΎ-Π½ΠΎΠ²ΠΎΠΌΡ Π²Π·Π³Π»ΡΠ½ΡΡΡ Π½Π° ΡΡΠ΄ ΠΈΠ½ΡΠΎΠΊΠΎΠΌΠΌΡΠ½ΠΈΠΊΠ°ΡΠΈΠΎΠ½Π½ΡΡ
ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ ΠΈ ΡΠ΅ΡΠ²ΠΈΡΠΎΠ² ΠΈ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠΈΡΡ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ ΠΊ ΠΈΡ
ΡΠ΅Π°Π»ΠΈΠ·Π°ΡΠΈΠΈ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΡΡ
ΡΠ΅ΡΠΌΠΈΠ½Π°Π»ΡΠ½ΡΡ
ΡΠΈΡΡΠ΅ΠΌ. ΠΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ ΠΊ ΡΠΈΠ½ΡΠ΅Π·Ρ ΡΠΎΠΏΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΡΡΡΠΊΡΡΡΡ ΡΠ°ΠΊΠΈΡ
ΡΠΈΡΡΠ΅ΠΌ, ΡΠ΅Π°Π»ΠΈΠ·ΡΠ΅ΠΌΡΠΉ Π² Π΄Π²Π° ΡΡΠ°ΠΏΠ°: Π½Π° ΠΏΠ΅ΡΠ²ΠΎΠΌ ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΠ΅ΡΡΡ ΠΌΠΈΠ½ΠΈΠΌΠ°Π»ΡΠ½Π°Ρ ΡΠΎΠ²ΠΎΠΊΡΠΏΠ½ΠΎΡΡΡ ΡΠ·Π»ΠΎΠ² ΠΊΠΎΠΌΠΌΡΠ½ΠΈΠΊΠ°ΡΠΈΠΈ ΠΈ ΠΈΡ
ΡΠ°Π·ΠΌΠ΅ΡΠ΅Π½ΠΈΠ΅ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΡΡΠ΅Π±ΠΎΠ²Π°Π½ΠΈΠΉ ΠΊ Π΄ΠΎΡΡΡΠΏΠ½ΠΎΡΡΠΈ ΡΠ·Π»ΠΎΠ² ΠΊΠΎΠΌΠΌΡΠ½ΠΈΠΊΠ°ΡΠΈΠΈ Π΄Π»Ρ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΠΊΠ°ΡΠ΅Π³ΠΎΡΠΈΠΉ ΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΠ΅Π»Π΅ΠΉ ΠΈ Π³Π»ΠΎΠ±Π°Π»ΡΠ½ΠΎΡΡΠΈ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΠΎΠΉ ΡΠ΅ΡΠΌΠΈΠ½Π°Π»ΡΠ½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ, Π½Π° Π²ΡΠΎΡΠΎΠΌ β Π²Π°ΡΠΈΠ°Π½ΡΡ ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΡ ΡΠ·Π»ΠΎΠ² ΠΊΠΎΠΌΠΌΡΠ½ΠΈΠΊΠ°ΡΠΈΠΈ ΠΈ ΡΠ²ΡΠ·Π΅ΠΉ ΠΌΠ΅ΠΆΠ΄Ρ Π½ΠΈΠΌΠΈ, ΠΊΠΎΡΠΎΡΡΠ΅ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΠ²Π°ΡΡ Π²ΡΠΏΠΎΠ»Π½Π΅Π½ΠΈΠ΅ ΡΡΠ½ΠΊΡΠΈΠΉ ΠΊΠΎΠΌΠΌΡΠ½ΠΈΠΊΠ°ΡΠΈΠΈ ΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΠ΅Π»Π΅ΠΉ Π»ΠΎΠΊΠ°Π»ΡΠ½ΡΡ
ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΡΡ
ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ² ΠΏΡΠΈ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΠΈ Π½Π΅ΠΏΡΠ΅ΡΡΠ²Π°Π΅ΠΌΠΎΡΡΠΈ ΡΠ²ΡΠ·ΠΈ Π΄Π»Ρ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΠΊΠ°ΡΠ΅Π³ΠΎΡΠΈΠΉ ΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΠ΅Π»Π΅ΠΉ. ΠΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ ΠΌΠΎΠ΄Π΅Π»ΡΠ½ΡΠΉ ΠΏΡΠΈΠΌΠ΅Ρ Π·Π°Π΄Π°ΡΠΈ ΡΠΈΠ½ΡΠ΅Π·Π° ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΠΎΠΉ ΡΠ΅ΡΠΌΠΈΠ½Π°Π»ΡΠ½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ Π΄Π»Ρ Π°ΡΠ΄ΠΈΠΎΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π° Π΄Π²ΡΡ
ΠΊΠ°ΡΠ΅Π³ΠΎΡΠΈΠΉ ΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΠ΅Π»Π΅ΠΉ (Π²Π·ΡΠΎΡΠ»ΡΠ΅ ΠΈ Π΄Π΅ΡΠΈ) Π² Π»ΠΎΠΊΠ°Π»ΡΠ½ΠΎΠΌ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΠΎΠΌ ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π΅ (Π΄ΠΎΠΌΠ΅), Π³ΠΎΠ»ΠΎΡΠΎΠ²ΠΎΠ³ΠΎ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΏΠΎΠ΄ΡΠΈΡΡΠ΅ΠΌΠ°ΠΌΠΈ Β«ΡΠΌΠ½ΠΎΠ³ΠΎΒ» Π΄ΠΎΠΌΠ°. ΠΠ»Ρ Π΅Π΅ ΡΠ΅ΡΠ΅Π½ΠΈΡ Π½Π° ΠΊΠ°ΠΆΠ΄ΠΎΠΌ ΡΡΠ°ΠΏΠ΅ ΡΠΈΠ½ΡΠ΅Π·Π° ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Ρ ΠΈΡΡ
ΠΎΠ΄Π½ΡΠ΅ Π΄Π°Π½Π½ΡΠ΅, ΠΎΡΡΡΠ΅ΡΡΠ²Π»Π΅Π½Π° ΡΠΎΡΠΌΠ°Π»ΡΠ½Π°Ρ ΠΏΠΎΡΡΠ°Π½ΠΎΠ²ΠΊΠ° Π·Π°Π΄Π°ΡΠΈ ΡΠΈΠ½ΡΠ΅Π·Π°, ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ Π°Π»Π³ΠΎΡΠΈΡΠΌ ΡΠ΅ΡΠ΅Π½ΠΈΡ ΠΈ ΠΏΠΎΠ»ΡΡΠ°Π΅ΠΌΡΠ΅ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ. Π’Π°ΠΊ Π·Π°Π΄Π°ΡΠ° ΠΏΠ΅ΡΠ²ΠΎΠ³ΠΎ ΡΡΠ°ΠΏΠ° ΡΠΈΠ½ΡΠ΅Π·Π° ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»ΡΠ΅Ρ ΡΠΎΠ±ΠΎΠΉ Π»ΠΈΠ½Π΅ΠΉΠ½ΡΡ ΡΠ΅Π»ΠΎΡΠΈΡΠ»Π΅Π½Π½ΡΡ Π·Π°Π΄Π°ΡΡ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ, ΡΠ΅ΡΠ΅Π½Π½ΡΡ Π² ΠΌΠΎΠ΄Π΅Π»ΡΠ½ΠΎΠΌ ΠΏΡΠΈΠΌΠ΅ΡΠ΅ ΡΠΈΠΌΠΏΠ»Π΅ΠΊΡ-ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ. Π Π΅ΡΠ΅Π½ΠΈΠ΅ Π·Π°Π΄Π°ΡΠΈ Π²ΡΠΎΡΠΎΠ³ΠΎ ΡΡΠ°ΠΏΠ° ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΎ Π½Π° Π°Π»ΡΡΠ΅ΡΠ½Π°ΡΠΈΠ²Π½ΠΎ-Π³ΡΠ°ΡΠΎΠ²ΠΎΠΉ ΡΠΎΡΠΌΠ°Π»ΠΈΠ·Π°ΡΠΈΠΈ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Π΅ Β«Π²Π΅ΡΠ²Π΅ΠΉ ΠΈ Π³ΡΠ°Π½ΠΈΡΒ». ΠΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ Π΄Π΅ΠΌΠΎΠ½ΡΡΡΠΈΡΡΡΡ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π½ΠΎΠ³ΠΎ Π½Π°ΡΡΠ½ΠΎ-ΠΌΠ΅ΡΠΎΠ΄ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ°ΡΠΈΡ ΡΠΈΠ½ΡΠ΅Π·Π° ΡΠΎΠΏΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΡΡΡΠΊΡΡΡΡ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΡΡ
ΡΠ΅ΡΠΌΠΈΠ½Π°Π»ΡΠ½ΡΡ
ΡΠΈΡΡΠ΅ΠΌ ΠΈ ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ Π΅Π³ΠΎ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ Π²ΠΎ Π²Π½ΠΎΠ²Ρ Π²ΠΎΠ·Π½ΠΈΠΊΠ°ΡΡΠΈΡ
Π·Π°Π΄Π°ΡΠ°Ρ
ΡΠ΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠ΅Π°Π»ΠΈΠ·Π°ΡΠΈΠΈ Π½ΠΎΠ²ΡΡ
ΠΈΠ½ΡΠΎΠΊΠΎΠΌΠΌΡΠ½ΠΈΠΊΠ°ΡΠΈΠΎΠ½Π½ΡΡ
ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ ΠΈ ΡΠ΅ΡΠ²ΠΈΡΠΎΠ²
Towards a Synesthesia Laboratory: Real-time Localization and Visualization of a Sound Source for Virtual Reality Applications
In this paper, we present our findings related to the problem of localization and visualization of a sound source placed in the same room as the listener. The particular effect that we aim to investigate is called synesthesiaβthe act of experiencing one sense modality as another, e.g., a person may vividly experience flashes of colors when listening to a series of sounds. Towards that end, we apply a series of recently developed methods for detecting sound source in a three-dimensional space around the listener.We also apply a Kalman filter to smooth out the perceived motion. Further, we transform the audio signal into a series of visual shapes, such that the size of each shape is determined by theloudness of the sound source, and its color is determined by the dominant spectral component of the sound. The developed prototype is verified in real time. The prototype configuration is described and some initial experimental results are reported and discussed. Some ideas for further development are also presented
Towards a Synesthesia Laboratory: Real-time Localization and Visualization of a Sound Source for Virtual Reality Applications
In this paper, we present our findings related to the problem of localization and visualization of a sound source placed in the same room as the listener. The particular effect that we aim to investigate is called synesthesiaβthe act of experiencing one sense modality as another, e.g., a person may vividly experience flashes of colors when listening to a series of sounds. Towards that end, we apply a series of recently developed methods for detecting sound source in a three-dimensional space around the listener.We also apply a Kalman filter to smooth out the perceived motion. Further, we transform the audio signal into a series of visual shapes, such that the size of each shape is determined by theloudness of the sound source, and its color is determined by the dominant spectral component of the sound. The developed prototype is verified in real time. The prototype configuration is described and some initial experimental results are reported and discussed. Some ideas for further development are also presented
Distributed Signal Processing for Situation Assessment in Cyber-Physical Systems. Hajutatud signaalit\uf6\uf6tlus olukorra hindamiseks k\ufcberf\ufc\ufc\ufcsikalistes s\ufcsteemides
Application of Fusion of Various Spontaneous Speech Analytics Methods for Improving Far-Field Neural-Based Diarization
Recently developed methods in spontaneous speech analytics require the use of speaker separation based on audio data, referred to as diarization. It is applied to widespread use cases, such as meeting transcription based on recordings from distant microphones and the extraction of the target speakerβs voice profiles from noisy audio. However, speech recognition and analysis can be hindered by background and point-source noise, overlapping speech, and reverberation, which all affect diarization quality in conjunction with each other. To compensate for the impact of these factors, there are a variety of supportive speech analytics methods, such as quality assessments in terms of SNR and RT60 reverberation time metrics, overlapping speech detection, instant speaker number estimation, etc. The improvements in speaker verification methods have benefits in the area of speaker separation as well. This paper introduces several approaches aimed towards improving diarization system quality. The presented experimental results demonstrate the possibility of refining initial speaker labels from neural-based VAD data by means of fusion with labels from quality estimation models, overlapping speech detectors, and speaker number estimation models, which contain CNN and LSTM modules. Such fusing approaches allow us to significantly decrease DER values compared to standalone VAD methods. Cases of ideal VAD labeling are utilized to show the positive impact of ResNet-101 neural networks on diarization quality in comparison with basic x-vectors and ECAPA-TDNN architectures trained on 8 kHz data. Moreover, this paper highlights the advantage of spectral clustering over other clustering methods applied to diarization. The overall quality of diarization is improved at all stages of the pipeline, and the combination of various speech analytics methods makes a significant contribution to the improvement of diarization quality
NICKEL ALUMINIDE SYNTHESIS REINFORCED WITH MOLYBDENUM BORIDE COMPOSITE
The authors study obtaining a composite material NiAl - Mo2B5 while carrying out thermally coupled reactions of self-propagating high-temperature synthesis with a deoxidizing aluminothermal stage. The authors established ultimate and phase composition of the obtained composite. The microstructure is studied. It is shown that the composite consists of the intermetallic phase NiAl with Mo2B5 inclusions