BLF recording analysis
Parse BLF recordings and examine timestamped CAN communication in time order, including CAN-FD, J1939, and ISO-TP traffic where present in the supplied data.
Vehicle Data & Measurement
BLF analysis investigates what happened in timestamped bus recordings. I isolate symptom windows, compare message timing and decoded signals, and build a traceable event timeline across failing and reference runs. Findings distinguish observed communication from possible explanations.
Discuss BLF AnalysisProblems I can investigate
Measurement size or volume makes interactive inspection and processing impractical. I can focus processing on relevant CAN communication, signals, and time ranges.
A vehicle symptom occurs irregularly and requires evidence across recordings and logs. Analysis can compare observed communication and decoded signal behavior against the supplied problem description.
Engineers repeatedly perform the same data preparation and interpretation steps. Repeatable processing can reduce manual preparation and make findings easier to review.
What I can help with
Parse BLF recordings and examine timestamped CAN communication in time order, including CAN-FD, J1939, and ISO-TP traffic where present in the supplied data.
Use a DBC to decode CAN frames and signals into engineering values, then document interpretation notes and relevant signal behavior.
Compare decoded signals and communication events across recordings to support anomaly investigation and cautious interpretation of intermittent behavior.
Create a repeatable converter or processing utility for automotive data formats, with analysis workflows that can be applied to recurring recordings.
Work from recordings and analysis context associated with Vector CANalyzer or CANoe, while keeping the resulting findings and utilities focused on the defined engineering question.
What to send
Provide the relevant BLF recording or recordings containing the vehicle behavior, CAN communication, or measurement interval to investigate.
Provide the DBC used to define the CAN messages and signals that should be decoded.
Describe the observed symptoms, context, reproduction steps, and expected behavior so the analysis can remain focused.
How the analysis works
Review the problem description, recordings, and DBC to identify the relevant communication, signals, and comparison points.
Read the BLF recording, apply the supplied DBC, and produce usable CAN frames and signal values for analysis.
Examine communication and signal behavior across the available recordings, looking for patterns, differences, and evidence relevant to the symptom.
Where the same preparation or evaluation is repeated, implement a focused data converter or processing utility for consistent execution.
Summarize the analyzed evidence, decoding results, interpretation notes, and remaining uncertainty in a practical engineering format.
What you receive
A documented technical analysis with evidence, findings, relevant signal or communication observations, and clearly stated limits of interpretation.
Decoded CAN frames, signals, and interpretation notes based on the supplied DBC and BLF recording.
A repeatable utility that transforms automotive data formats or performs defined preparation steps for recurring analysis.
Technologies & formats
A Vector binary container for timestamped bus communication.
A priority-based broadcast bus used for in-vehicle control communication.
A text format describing CAN messages, signals, nodes, scaling, and metadata.
A Vector environment for recording and analyzing vehicle-network communication.
A development, simulation, test, and analysis environment for vehicle networks.
An extension of CAN with larger payloads and a faster data phase.
A higher-layer vehicle network protocol suite using CAN, common in heavy vehicles.
A segmented transport protocol for messages carried over CAN.
A Python library providing a common API for CAN interfaces and messages.
A Python package for parsing CAN databases and encoding or decoding messages.
A human-readable Vector format for timestamped bus events.
ISO 14229 diagnostic services for communicating with vehicle ECUs.
Vector event-driven language for network simulation, testing, and automation.
FAQ
Discuss the evidence
Provide the BLF recording, DBC, and problem description. I will assess the data, confirm the analysis focus, and define the smallest useful engineering output.