9 annunci per il ruolo di python - vaud (recruiting in corso)

Oscillation detection, characterization and source localization
Zaphiro Technologies SA —Renens, VD
- Master
- Competenze analitiche
- Tirocinio formativo/stage
15 ore
Incipient Fault Detection Using Waveform Analysis
Zaphiro Technologies SA —Renens, VD
- Master
- Competenze analitiche
- Tirocinio formativo/stage
15 ore
Phase identification algorithm
Zaphiro Technologies SA —Renens, VD
- Tirocinio formativo/stage
- Python
15 ore
Senior Azure DevOps Engineer
ELCA Informatique SA —Pully, VD
- 100%
- Gestionale
- Inglese
- Windows
Elektroplaner:in 100%
cross-ING AG —Yverdon-les-Bains, VD
- 100%
- Parzialmente remoto
- CAD
- Inglese
- C++
Senior Backend Engineer / Technical Lead
Nexthink —Losanna, VD
- 100%
- Parzialmente remoto
- Gestionale
- Inglese
- Java
Candidatura rapida
Senior Product Security Engineer / Architect [Lausanne]
Taurus SA —Losanna, VD
- Parzialmente remoto
- Dottorato
- Inglese
- Ricerca
Candidatura rapida
AI Research Scientist
Giotto.ai —Losanna, VD
- 100%
- Parzialmente remoto
- Ricerca
- Master
- Capacità di comunicazione
Candidatura rapida
Senior Scientist II, Data Science (CompBio for Translation and Biomarkers in Cardio-Renal-Metabolics)
HAYA Therapeutics —Epalinges, VD
- 100%
- Dottorato
- Python
Candidatura rapida

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Incipient Fault Detection Using Waveform Analysis
Zaphiro Technologies SA —Renens, VD
Validate the developed method through case studies in Power Factory and evaluate the performance. Knowledge of power system protection and fault analysis.
15 ore

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Oscillation detection, characterization and source localization

Zaphiro Technologies SA
Renens, VD

Candidati adesso

Dettagli della posizione

Tirocinio formativo/stage
15 ore fa

Qualifiche

MATLAB
Master
Competenze analitiche
Python

Descrizione completa della posizione

Project type

Internship
MSc thesis

Contact point

[email protected]

Project description and objectives

Power system oscillations—whether caused by faults, control interactions, or generator dynamics—can threaten grid stability and reliability. Phasor Measurement Units (PMUs) provide high-resolution, time-synchronized measurements that enable real-time monitoring and analysis of such oscillations.

This project aims to develop a data-driven framework using PMU data to detect, characterize, and identify the source of oscillations in a power system. The project will explore algorithms for oscillation detection (e.g., Prony analysis, spectral methods, machine learning), estimate modal characteristics (frequency, damping, mode shape), and propose approaches to pinpoint the most likely source or contributing element of the oscillation.

Objectives:

Develop algorithms for real-time oscillation detection using PMU data.
Characterize oscillation modes in terms of frequency, damping ratio, and energy contribution.
Implement source identification techniques to locate the origin of oscillations.
Evaluate performance using synthetic or real-world PMU datasets.

Tasks

Literature Review: Study existing methods for oscillation detection and modal analysis using PMUs. Review signal processing and machine learning approaches relevant to the problem.
Data Acquisition and Preprocessing: Obtain PMU data (from open datasets or simulations such as IEEE test systems). Preprocess data for noise filtering and synchronization.
Oscillation Detection: Implement algorithms to detect sustained or growing oscillations (e.g., FFT, Prony, or AR-based methods). Compare detection accuracy and computational performance.
Oscillation Characterization: Extract modal parameters such as frequency, damping ratio, and mode shape. Visualize time-domain and frequency-domain characteristics.
Source Identification: Apply energy-based or participation factor-based methods to locate oscillation sources. Validate using test scenarios or benchmark systems.
Evaluation and Reporting: Analyze results and compare algorithm performance. Prepare a final report and presentation summarizing findings, challenges, and recommendations.

This project, could be developed in full or partly during a single student project.

Required skills

Strong background in power systems and power system dynamics.
Familiarity with phasor measurement units (PMUs) and synchrophasor data.
Knowledge of signal processing (e.g., FFT, Prony, wavelet, spectral analysis).
Programming proficiency in MATLAB, Python, or similar environments.
Understanding of machine learning techniques (optional but beneficial).
Ability to perform data analysis and visualization.

Other benefits and/or compensation

Depending on the final project type, scope and deliverables, Zaphiro may consider providing additional adequate compensation.

Candidati adesso

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python offerte - vaud

Oscillation detection, characterization and source localization

Incipient Fault Detection Using Waveform Analysis

Phase identification algorithm

Senior Azure DevOps Engineer

Elektroplaner:in 100%

Senior Backend Engineer / Technical Lead

Senior Product Security Engineer / Architect [Lausanne]

AI Research Scientist

Senior Scientist II, Data Science (CompBio for Translation and Biomarkers in Cardio-Renal-Metabolics)

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Voglio ricevere gli ultimi avvisi Job Alert per il ruolo di python nella seguente località: vaud

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