Statistical Identification of Digital Filtering and Data Manipulation in Battery Cycler Logs
Digital filtering in cycler logs is identified by autocorrelation in voltage residuals, digit frequency shifts, and artificial collapse of variance floors.
Trailing Digit Distribution
Meaning
Statistical frequency of the final numbers in a large set of measurements serves as a tool for verifying the authenticity and resolution of the data. The trailing digit distribution should normally appear uniform if the sensor has enough precision and the data is real. Deviations from an even spread often indicate that the data has been rounded or manually entered.
Forensic Utility
Analyzing the last decimal places of voltage and current readings reveals the true bit-depth of the analog to digital converter. An uneven trailing digit distribution suggests that the testing hardware might not be as accurate as the manufacturer claims. This check is a common part of the data validation process in technical audits.
Fraud Detection
Humans who invent data often unconsciously avoid certain numbers or repeat others too frequently. Checking the trailing digit distribution uncovers these patterns and identifies datasets that were generated by a formula instead of a physical test. It is a powerful method for spotting the manipulation of performance records.
Data Quality
Sensors that are stuck or have low sensitivity will produce a biased set of final digits. Monitoring the trailing digit distribution helps maintenance teams identify when a measurement channel needs recalibration. This analysis ensures that the high-resolution data required for electrochemical modeling is genuine.