How to design industrial electronics for field repairability. Covers modular architecture, connector selection, testability, IPC repair standards, MTTR reduction, hot-swap design, and documentation requirements for maintenance teams.
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03 April 2026

03 April 2026
Engineering deep dive into thermal design under continuous load: steady-state modeling, junction temperature calculation, thermal resistance networks, airflow constraints, derating, and real failure modes.

03 April 2026
Deep technical guide to secure provisioning for industrial devices: PKI flows, CSR generation, HSM-backed manufacturing, secure boot chains, zero-touch onboarding (EST/BRSKI), and lifecycle key management.

03 April 2026
A deep engineering analysis of in-vehicle DC microgrids: 48V/12V architectures, zonal power distribution, DC/DC conversion, fault isolation, and real system trade-offs.

03 April 2026
A deep engineering analysis of SOC and SOH estimation algorithms: Kalman filters, model-based methods, degradation tracking, real-time constraints, and where they fail in production BMS.

03 April 2026
Why fail-safe is no longer enough in EV power electronics: real fault scenarios, inverter behavior, redundancy strategies, and certification challenges.

03 April 2026
Engineering Observability for Live Media Pipelines: Why Healthy Systems Still Produce Broken Streams
Why live media pipelines fail even when all services look healthy: latency accumulation, QoS vs QoE gaps, ST 2110 timing, and how to design real observability.

03 April 2026
What multi-vendor interoperability testing for IPMX actually involves. Covers VSF TR-10 compliance, NMOS IS-04 and IS-05 validation, JPEG XS profile matching, PTP vs asynchronous timing, HDCP, and gap areas in the current IPMX test framework.

03 April 2026
How to design broadcast systems that degrade gracefully rather than fail catastrophically. Covers SMPTE ST 2110 redundancy, SMPTE 2022-7 protection switching, PTP failover, NMOS orchestration, and failure mode hierarchy for live production.

03 April 2026
How AI inference workloads change PDN design requirements on embedded boards. Covers target impedance, VRM placement, decoupling strategy, IR drop, transient current management, and layer stack-up for NPU-equipped SoCs.