Analytics for Sensor Integrity, Rare Events & System Reliability

Working with industrial teams to analyze sensor data, detect critical anomalies, and quantify rare events, when standard methods are not enough.

• Services
• Expertise
• Contact

Services

We support industrial teams in understanding sensor data and validating system behavior under uncertainty.
Especially where real-world behavior differs from model assumptions.

Sensor Data Validation under Real-World Conditions

We evaluate sensor data with respect to expected performance, consistency, and robustness under real-world conditions.Typical questions include:
- How stable is sensor performance across conditions?
- Where do systematic deviations occur?
- What patterns indicate abnormal or unexpected behavior?

Rare Events & Extreme Behavior in Sensor Data

We analyze rare and high-impact events that are not captured by standard evaluation methods. Our approach focuses on the statistical characterization of extreme behavior in sensor data.Typical questions include:
- Where do critical outliers occur and how relevant are they?
- What patterns characterize rare system behavior?
- How can behavior beyond observed data be assessed?

Modeling Sensor Errors Beyond Standard Assumptions

We develop statistical models that reflect the true structure of sensor errors, avoiding standard assumptions where they are not justified.Typical questions include:
- When do standard assumptions (e.g. Gaussian behavior) break down?
- What structure do sensor errors actually exhibit?
- How can models be adapted to reflect real system behavior?

Uncertainty & Robustness of Sensor-Based Results

We quantify uncertainty in sensor data and derived metrics, and assess how sensitive results are to variations in data and assumptions.Typical questions include:
- How reliable are the results under changing conditions?
- How sensitive is the system to noise and disturbances?
- Where are the limits of validity of the data and models?

Expertise

Dr.-Ing. Majid Naeimi is a statistical consultant specialising in industrial sensor data and system integrity. His work focuses on identifying critical patterns in data, with particular emphasis on anomaly detection, extreme-value analysis, and reliability modelling for safety-critical systems.He works at the interface between model assumptions and real-world behavior, especially where standard approaches are no longer sufficient. His background combines academic research and industrial experience in analysing complex sensor data and supporting technically grounded decision-making.

Contact

Get in touch if you are working with complex sensor data and unclear system behavior, or where standard approaches reach their limits.
Initial discussions are straightforward and without obligation.E-Mail:
[email protected]

• Impressum
• Datenschutz

ImpressumDataSigma Analytics
Dr.-Ing. Majid Naeimi
Gartenstr. 7
74906, Bad Rappenau
E-Mail: [email protected]
-------------------------------------------
Hinweis zur Tätigkeit:
Statistische Beratung und Analyse im Bereich industrieller Sensordaten.
-------------------------------------------------------------------------