KnowMesh
← Back to search

Klaudia Michalska

Reliability & Safety Engineer · Safety & Reliability

Warsaw, Poland

Reliability & Safety Engineer applying quantitative analysis methods to aerospace system design. Specializes in FMEA/FMECA, Fault Tree Analysis (FTA), and reliability prediction using MIL-HDBK-217 and ECSS standards. Develops safety cases and supports hazard analysis for propulsion and avionics systems.

Expertise

  • FMEA and FMECA (functional and hardware level)
  • Fault Tree Analysis (FTA) and cut set extraction
  • reliability prediction (MIL-HDBK-217, ECSS-Q-ST-30)
  • safety case development (MIL-STD-882)
  • hazard analysis and risk assessment
  • MTBF and mission reliability calculation

Technologies

Windchill RiskandReliability ReliaSoft BlockSim MATLAB MIL-HDBK-217 MIL-STD-882 FMEA FTA ECSS-Q-ST-30 Excel

Work History

2024-09

Conducted Preliminary Hazard Analysis (PHA) for new hypergolic propellant handling facility. Identified 28 hazard scenarios, assessed severity and likelihood, defined 34 risk controls and mitigation measures.

Challenge: Hypergolic propellants (MMH/NTO) have limited publicly available accident data. Used a combination of MIL-STD-882 severity tables, published NASA hazard analysis reports, and consultation with a propulsion engineer to assess likelihood.

Learned: Hazard analysis quality depends on domain expertise from the system engineers. A safety engineer working alone produces a checklist; a safety engineer working with propulsion, mechanical, and operations experts produces a real risk assessment.

MIL-STD-882 Excel Confluence

2024-02

Developed reliability prediction for onboard computer using ECSS-Q-ST-30 (parts count method). Calculated MTBF of 180,000 hours at +20°C. Identified capacitor family as top contributor to failure rate.

Challenge: Several custom ASICs in the design had no published failure rate data. Assigned MIL-HDBK-217 generic IC rates with worst-case quality level — conservative but defensible to the customer.

Learned: Reliability prediction uncertainty is driven by component data quality, not by the calculation method. Document all assumptions and uncertainty sources clearly — customers ask about them during review.

ECSS-Q-ST-30 Excel Windchill RiskandReliability

2023-07

Performed Fault Tree Analysis for launcher separation system. Identified minimal cut sets, calculated probability of separation failure using component failure rate data from MIL-HDBK-217.

Challenge: One identified cut set had a probability above the 10⁻⁷/mission requirement. Proposed adding a redundant initiator and recalculated — probability dropped to 3×10⁻⁹. Design change approved at safety review.

Learned: FTA is not just a compliance exercise — it actively drives design improvements. Finding a single cut set that violates probability requirements and having the quantitative data to justify a design change is the real value.

ReliaSoft BlockSim MATLAB MIL-HDBK-217 FTA

2023-01

Performed hardware FMECA for satellite power distribution unit (PDU) — 180 components analyzed, failure modes and effects identified for each, critical items flagged for design review.

Challenge: Engineers provided component lists without distinguishing between primary and redundant paths. Had to trace schematics manually to determine failure propagation for each mode.

Learned: FMECA quality depends entirely on the quality of the design documentation provided. Starting FMECA before schematics are stable wastes time — establish a drawing freeze before FMECA kickoff.

Windchill RiskandReliability Excel FMEA