def validate(self) -> None:
    """Validate motor names and exposure time"""
    if self.exposure_time <= 0:
        raise ValidationError(f"Invalid exposure time: {self.exposure_time}")

    # Validate motor names
    for motor_name in self.motors.keys():
        if motor_name not in motor:
            raise ValidationError(f"Invalid motor name: {motor_name}")

def to_series(self) -> pd.Series:
    """Convert to pandas Series with canonical column names."""
    data: dict[str, float] = {}
    for motor_name, pos in self.motors.items():
        data[f"{normalize_header(motor_name)}_position"] = pos
    for chan, uval in self.ai_data.items():
        data[f"{normalize_header(chan)}_mean"] = uval.nominal_value
        data[f"{normalize_header(chan)}_std"] = uval.std_dev
    data[normalize_header("exposure")] = self.exposure_time
    data["timestamp"] = self.timestamp
    return pd.Series(data)