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Substation Condition Monitoring Solution Expert

Substation Condition Monitoring Solution Expert

Siemens

10 - 14 years

0 Lacs

haryana

Posted:4 days ago| Platform: Shine logo

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Skills Required

predictive maintenance anomaly detection data analysis algorithm development electrical engineering reliability engineering model validation python substation monitoring equipment substation asset lifecycle management dissolved gas analysis dga partial discharge pd monitoring temperature monitoring moisture monitoring bushing monitoring aidriven solutions validation of ai models integration of ai tools scalability optimization security optimization compliance with industry standards power system engineering aiml fundamentals data preprocessing

Work Mode

On-site

Job Type

Full Time

Job Description

As a highly skilled professional with deep expertise in substation monitoring equipment and substation asset lifecycle management, your role will involve supporting the design and development of AI-based software tools to enhance asset performance, predictive maintenance, and operational efficiency. **Key Responsibilities:** - Understand the operation, working principles, and health cycle of substation assets such as transformers, circuit breakers, and sensors. - Identify common challenges in asset health monitoring and lifecycle management. - Analyze data from substation monitoring systems to extract actionable insights. - Work extensively with transformer monitoring systems, including Dissolved Gas Analysis (DGA), Partial Discharge (PD) monitoring, and temperature, moisture, and bushing monitoring solutions. - Stay updated with CIGRE working groups, technical brochures, and papers to incorporate global best practices and emerging trends in asset health management. - Collaborate with data scientists and software engineers to design AI-driven solutions for predictive maintenance and anomaly detection. - Define requirements for algorithms that utilize sensor data, operational parameters, and historical performance trends. - Support validation of AI models against real-world substation scenarios. - Work closely with product teams to integrate AI tools into existing monitoring platforms. - Optimize solutions for scalability, security, and compliance with industry standards. - Act as a bridge between domain experts, AI experts, and development teams. - Provide technical guidance to internal teams and external customers on asset health management strategies. **Qualification Required:** - Bachelors or masters degree in electrical engineering or power system engineering or related field. - 10+ years of experience in substation condition monitoring solution development. - Strong knowledge of substation assets and their operational lifecycle. - Hands-on experience with substation monitoring equipment, including DGA analyzers, partial discharge monitors, and thermal monitoring systems. - Familiarity with predictive maintenance concepts, condition monitoring, and reliability engineering. - Good to have: understanding of AI/ML fundamentals, data preprocessing, and model validation (experience in Python or similar is a plus). - Excellent problem-solving and communication skills. The company values individuals with experience in power systems engineering or electrical asset management, exposure to IoT-based monitoring solutions and cloud platforms, knowledge of industry standards (IEC, IEEE) for substation equipment, and familiarity with CIGRE technical brochures, working groups, and recommendations for asset management and monitoring.,

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Substation Condition Monitoring Solution Expert